Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review | Paper Citation Record

Observation 79b5e472-bed4-41ba-b5c8-887dec4dcccf · outbound

This paper cites A comprehensive survey of multia- gent reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2):156–172, 2008.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A comprehensive survey of multia- gent reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(2):156–172, 2008

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.204591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5201f86-d96c-4afc-850e-6c3a1c0d5475 · outbound

This paper cites A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.308345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f2f134-c785-428b-86c0-de3151eb2c18 · outbound

This paper cites A survey of multi-agent deep reinforcement learning with communication.Autonomous Agents and Multi-Agent Systems, 38(1):4, 2024.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A survey of multi-agent deep reinforcement learning with communication.Autonomous Agents and Multi-Agent Systems, 38(1):4, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.395705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd336ca3-e500-4b0d-9ea8-de6c3136fc11 · outbound

This paper cites Single and multi-agent deep reinforcement learning for ai-enabled wireless networks: A tutorial.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Single and multi-agent deep reinforcement learning for ai-enabled wireless networks: A tutorial

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.476155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70018174-e6d4-4f24-90cb-f8cdbb5dba69 · outbound

This paper cites Multi-agent deep reinforcement learning for multi-robot applica- tions: A survey.Sensors, 23(7):3625, 2023.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent deep reinforcement learning for multi-robot applica- tions: A survey.Sensors, 23(7):3625, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.546887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2723a35-7894-4bb9-b300-e293b1d02da8 · outbound

This paper cites Multi-agent deep reinforcement learning: a survey.Arti- ficial Intelligence Review, 55(2):895–943, 2022.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent deep reinforcement learning: a survey.Arti- ficial Intelligence Review, 55(2):895–943, 2022

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.637985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696121d7-a3fe-4624-aa0e-322df50c2068 · outbound

This paper cites A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.744069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8f5e70e-db62-4177-b0db-980ca59950ff · outbound

This paper cites Multi-agent reinforcement learning: A selective overview of theories and algorithms.Handbook of reinforcement learning and control, pages 321–384, 2021.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent reinforcement learning: A selective overview of theories and algorithms.Handbook of reinforcement learning and control, pages 321–384, 2021

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.854258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235e5c4d-84d6-44bf-9238-820e84b031fd · outbound

This paper cites MIT press Cambridge, 1998.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review MIT press Cambridge, 1998

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:49.980874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8b7457-8ad0-4659-a19c-885484f81958 · outbound

This paper cites Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.103369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 426e0eee-2e97-445b-afbb-3eea80e1e4e6 · outbound

This paper cites Deep reinforcement learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Deep reinforcement learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.165134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8db56f8-81f9-48c6-b81b-24186bc7a58a · outbound

This paper cites Multi-agent reinforcement learning: Independent vs.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent reinforcement learning: Independent vs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.321549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29492cd-8904-4fd9-94f5-291d256fe61d · outbound

This paper cites Mean field multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mean field multi-agent reinforcement learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.420945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c18353-78df-4abc-bf33-bd2bd85f988a · outbound

This paper cites Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.514112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9297e378-1fce-4a9b-8f71-7bc6345edb63 · outbound

This paper cites Partially observable mean field reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Partially observable mean field reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.603384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16673b40-a680-40dd-ae84-54f199d44cbd · outbound

This paper cites Rode: Learning roles to decompose multi-agent tasks.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Rode: Learning roles to decompose multi-agent tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.673972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0843ae6c-cfe7-4429-b545-52d132d0353e · outbound

This paper cites Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.766527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b755f29-f056-402b-85a1-531e3aeb4c24 · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review The surprising effectiveness of PPO in cooperative multi-agent games

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.836753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5869a5-f014-4cda-abcf-89e6ca35181a · outbound

This paper cites Trust region policy optimisation in multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Trust region policy optimisation in multi-agent reinforcement learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:50.883328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5a190e-3a9b-41c6-854b-2280b374f3ea · outbound

This paper cites Learning mean-field games.Advances in neural information processing systems, 32, 2019.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Learning mean-field games.Advances in neural information processing systems, 32, 2019

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.014627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05af5343-9291-49f3-851d-cd21fcb346ca · outbound

This paper cites Believewhatyousee: Implicitconstraintapproachforofflinemulti-agent reinforcement learning.Advances in Neural Information Processing Systems, 34:10299–10312, 2021.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Believewhatyousee: Implicitconstraintapproachforofflinemulti-agent reinforcement learning.Advances in Neural Information Processing Systems, 34:10299–10312, 2021

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.128565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f5f8ad-56e1-4a5e-aa6b-8f1770f30055 · outbound

This paper cites Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.254380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9f8dc2-c385-4cdd-bd30-bda11056eafa · outbound

This paper cites Off-the-grid marl: Datasets and baselines for offline multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Off-the-grid marl: Datasets and baselines for offline multi-agent reinforcement learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.420357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1abd791-7b37-4b6b-90c7-8d45c50357bd · outbound

This paper cites Networked multi-agent reinforcement learn- ing in continuous spaces.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Networked multi-agent reinforcement learn- ing in continuous spaces

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.519004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8369d25-4724-42ef-b220-93dba4f2d522 · outbound

This paper cites Fully decentralized multi-agent reinforcement learning with networked agents.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Fully decentralized multi-agent reinforcement learning with networked agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.631447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ae6d12-1e4c-4320-b61e-8df57f7649a4 · outbound

This paper cites Graph Convolutional Reinforcement Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Graph Convolutional Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.769161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5bfb0a5-5d4a-4406-9cbf-dbf0c4d4cb57 · outbound

This paper cites Mambpo: Sample-efficient multi-robot reinforcement learning using learned world models.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mambpo: Sample-efficient multi-robot reinforcement learning using learned world models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:51.931293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1628151-c620-47ff-b7bc-232a4737f9f5 · outbound

This paper cites Mingling foresight with imagination: Model-based cooperative multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 35:11327–11340, 2022.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mingling foresight with imagination: Model-based cooperative multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 35:11327–11340, 2022

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.033284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd410ad3-650c-4f5f-8427-59dd1723b374 · outbound

This paper cites Scalable Multi-Agent Model-Based Reinforcement Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Scalable Multi-Agent Model-Based Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.132874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730365c9-7faa-4738-bd25-624fb7dcc895 · outbound

This paper cites MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.380325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42b8179a-8e2a-4e0b-8455-65cafe8fa10f · outbound

This paper cites Cmix: Deep multi-agent reinforcement learning with peak and average constraints.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Cmix: Deep multi-agent reinforcement learning with peak and average constraints

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.230428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0295ad-d3f8-4abe-8c72-6a21f3c50382 · outbound

This paper cites Safe multi-agent reinforcement learning for multi-robot control.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Safe multi-agent reinforcement learning for multi-robot control

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.278175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33de91ae-11d5-4864-8ac3-a2c87d441b0d · outbound

This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi- agent actor-critic for mixed cooperative-competitive environments

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.350658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968df221-589d-45a4-9dd7-3c199bdb0cb0 · outbound

This paper cites Counterfactual multi-agent policy gradients.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Counterfactual multi-agent policy gradients

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.383562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b0ea3d-2fdb-4560-b58e-a0181e4df166 · outbound

This paper cites Value-decomposition networks for cooperative multi-agent learning based on team reward.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Value-decomposition networks for cooperative multi-agent learning based on team reward

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.464054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ac68691-e695-462b-ade7-861768e4b6ed · outbound

This paper cites {QPLEX}: Duplex dueling multi-agent q-learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review {QPLEX}: Duplex dueling multi-agent q-learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.545315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba858a96-3d44-4313-9dc9-fc19e00628a0 · outbound

This paper cites Maximum entropy heterogeneous-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Maximum entropy heterogeneous-agent reinforcement learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.629048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6d0e12-5e14-4f16-9bf0-0e082fc43a13 · outbound

This paper cites Heterogeneous-agentreinforcementlearning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Heterogeneous-agentreinforcementlearning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.723706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9799ffa7-ab9b-4e4f-8663-bd88c8c11cef · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.786486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e57559-9b2f-4ad9-862f-7fce322b378f · outbound

This paper cites Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving, 11 2020.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving, 11 2020

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.867152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb1cddd-2469-47a0-ab2d-5a77b2d1e01d · outbound

This paper cites Multi-agent reinforcement learning aided intelligent uav swarm for target tracking.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent reinforcement learning aided intelligent uav swarm for target tracking

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.957454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8394315-7eb7-46f0-b0b2-8ef85c7983fe · outbound

This paper cites Mean-field theory for scale-free random networks.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mean-field theory for scale-free random networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.996869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db80373-f978-48a4-8a4d-761293c3d6aa · outbound

This paper cites Mean field games and mean field type control theory, volume 101.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mean field games and mean field type control theory, volume 101

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.063316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3606999c-b135-4006-a4d4-0ccdf8d31dcb · outbound

This paper cites Optimal control of partially observable markovian systems.Journal of The Franklin Institute, 280(5):367–386, 1965.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Optimal control of partially observable markovian systems.Journal of The Franklin Institute, 280(5):367–386, 1965

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.119077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a30baf4-9bf6-402d-a8c3-928413191b87 · outbound

This paper cites an unresolved cited work.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.249734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b50b0b9-de87-4b6d-acb5-d477c186496d · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Offline Reinforcement Learning with Implicit Q-Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.309762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 066bd643-83c4-4ed3-bbb9-4ac20b2eaca4 · outbound

This paper cites Off-policy deep reinforcement learning with- out exploration.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Off-policy deep reinforcement learning with- out exploration

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.418145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd90c377-709e-4c4c-8c86-e90e86655d27 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Conservative q-learning for offline reinforcement learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.493625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23a61ee-781c-413f-9251-76f4793effce · outbound

This paper cites A review of cooperative multi-agent deep rein- forcement learning.Applied Intelligence, 53(11):13677–13722, 2023.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A review of cooperative multi-agent deep rein- forcement learning.Applied Intelligence, 53(11):13677–13722, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.565420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5ebb4b-2f56-4c4c-a0b4-c539cb611fa1 · outbound

This paper cites A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.625181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e8f0393-2fad-4f5b-9c8a-e71f9b3cd339 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.723048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e71f0e7-e243-44ff-9ab6-3c5b43416426 · outbound

This paper cites A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.778345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7087da8f-895d-42b2-b821-96b7724e497b · outbound

This paper cites Bench- marking multi-agent deep reinforcement learning algorithms in cooperative tasks.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Bench- marking multi-agent deep reinforcement learning algorithms in cooperative tasks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.819779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b8cd852-ba1b-4e12-820d-f6579cc41dcf · outbound

This paper cites Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.882712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c844a7-f063-4d85-b255-7d2199ea6984 · outbound

This paper cites Weighted qmix: Ex- panding monotonic value function factorisation for deep multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Weighted qmix: Ex- panding monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.961293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4afce7d-2c9f-4335-9bda-d28de958d940 · outbound

This paper cites On the approximation of cooperative heterogeneous multi-agent reinforcement learning (marl) using mean field control (mfc).Journal of Machine Learning Research, 23(129):1–46, 2022.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review On the approximation of cooperative heterogeneous multi-agent reinforcement learning (marl) using mean field control (mfc).Journal of Machine Learning Research, 23(129):1–46, 2022

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.070237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b40a73a-daa7-4048-9d87-2312d28f4230 · outbound

This paper cites Multi type mean field reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi type mean field reinforcement learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.140245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af8edd8-ce22-4ac3-b536-a821161c6de6 · outbound

This paper cites Efficient model-based multi-agent mean- field reinforcement learning.Transactions on Machine Learning Research, 2021.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Efficient model-based multi-agent mean- field reinforcement learning.Transactions on Machine Learning Research, 2021

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.204300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615c251b-16ed-45fd-ba04-a7212c1dff1c · outbound

This paper cites Centralized Model and Exploration Policy for Multi-Agent RL.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Centralized Model and Exploration Policy for Multi-Agent RL

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.338847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e99958c-96ee-4e23-8233-8f5ed1c2173f · outbound

This paper cites Model-based opponent modeling.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Model-based opponent modeling

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.369128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fb65e1-6447-4cf5-9c30-fc7f732f9cd2 · outbound

This paper cites Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.452841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0c29b1-8e7a-4a0d-9a5a-ee28ed5fbf3a · outbound

This paper cites Shield decentralization for safe multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Shield decentralization for safe multi-agent reinforcement learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.517414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2bbb27-78af-4e0b-8495-1fdfb8b77f7b · outbound

This paper cites Scalable primal- dual actor-critic method for safe multi-agent rl with general utilities.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Scalable primal- dual actor-critic method for safe multi-agent rl with general utilities

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.576599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bc0658-dabb-4d83-aede-6a309bf8511e · outbound

This paper cites Multiagent planning with factored MDPs.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multiagent planning with factored MDPs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.650052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a87f53b-e471-4d6c-b1b9-9df15f0e0cb0 · outbound

This paper cites Efficient solution algorithms for factored mdps.Journal of Artificial Intelligence Research, 19:399–468, 2003.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Efficient solution algorithms for factored mdps.Journal of Artificial Intelligence Research, 19:399–468, 2003

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.718729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392b09ff-5c2e-4593-a266-943da601bd9e · outbound

This paper cites Coordinated reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Coordinated reinforcement learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.775700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011e0078-26ba-4f09-819d-3602cd67d4b6 · outbound

This paper cites Sparse cooperative q-learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Sparse cooperative q-learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.855846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b0fb32c-aa30-4af7-a32f-531c467cac40 · outbound

This paper cites Kok and Nikos Vlassis.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Kok and Nikos Vlassis

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.904297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a7f225-f1ef-4cac-8873-6794cef8c31f · outbound

This paper cites Networked distributed pomdps: A synthesis of distributed constraint optimization and pomdps.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Networked distributed pomdps: A synthesis of distributed constraint optimization and pomdps

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:54.974180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703ab691-d170-41c1-9932-9fd21da1706b · outbound

This paper cites Approximate solutions for factored dec-pomdps with many agents.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Approximate solutions for factored dec-pomdps with many agents

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.037660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8627cbeb-7a74-4c0c-8750-8ea9e243ae45 · outbound

This paper cites Scalable reinforcement learning of localized policies for multi-agent networked systems.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Scalable reinforcement learning of localized policies for multi-agent networked systems

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.090469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f704428-c377-4535-b5a6-1b81b6069ab9 · outbound

This paper cites Multi-agent reinforcement learning in stochastic networked systems.Advances in neural information processing systems, 34:7825–7837, 2021.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent reinforcement learning in stochastic networked systems.Advances in neural information processing systems, 34:7825–7837, 2021

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.147227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f873834b-6371-43e7-bb08-66b5eee707fa · outbound

This paper cites Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.327250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84bdabf7-7355-455e-a5c9-76ee6cd09aef · outbound

This paper cites Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.313251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac6d326e-eccc-40b4-a831-ad126e5cc38c · outbound

This paper cites Magent: Amany-agentreinforcementlearningplatformforartificialcollectiveintelligence.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Magent: Amany-agentreinforcementlearningplatformforartificialcollectiveintelligence

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.378780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7c0188-9e16-498d-b2b6-f31da72bf65d · outbound

This paper cites Partially observable mean field reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Partially observable mean field reinforcement learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.437727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf61d131-fffc-4ce6-9570-c4ede11667d5 · outbound

This paper cites Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.493100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad84a013-25ce-4147-8a77-c11f6c8a8d2b · outbound

This paper cites Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.294140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2e4bd79-8882-4cce-a2a0-159e1d9a4ecc · outbound

This paper cites Swarm robotics: a review from the swarm engineering perspective.Swarm Intelligence, 7:1–41, 2013.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Swarm robotics: a review from the swarm engineering perspective.Swarm Intelligence, 7:1–41, 2013

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.647180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4f636b-5848-4156-87fa-410f48e704c3 · outbound

This paper cites Neural mmo 2.0: A massively multi-task addition to massively multi-agent learning.Advances in Neural Information Processing Systems, 36:50094–50104, 2023.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Neural mmo 2.0: A massively multi-task addition to massively multi-agent learning.Advances in Neural Information Processing Systems, 36:50094–50104, 2023

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.723684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38645d7-db43-4e74-8ec1-58c0e8138c6c · outbound

This paper cites Bsk-rl: Modular, high-fidelity reinforcement learning environments for spacecraft tasking.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Bsk-rl: Modular, high-fidelity reinforcement learning environments for spacecraft tasking

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.791882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6859b8f1-f144-43ab-83d2-96f18b3de7ae · outbound

This paper cites Multi-agent reinforcement learning for active voltage control on power distribution networks.Advances in Neural Information Processing Systems, 34:3271–3284, 2021.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Multi-agent reinforcement learning for active voltage control on power distribution networks.Advances in Neural Information Processing Systems, 34:3271–3284, 2021

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.858348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26e763f-8eb5-476b-8f9a-56764aff8f5f · outbound

This paper cites Updet: Universal multi-agent rl via policy decoupling with transformers.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Updet: Universal multi-agent rl via policy decoupling with transformers

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:55.950091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c043b144-fdd1-454a-ac53-87b11891cea0 · outbound

This paper cites Randomized entity-wise factorization for multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Randomized entity-wise factorization for multi-agent reinforcement learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.014785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c49b66-a4cd-440c-9783-ec533dddb001 · outbound

This paper cites Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.069997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9bd22fd-2bb8-446d-990b-08be171f2651 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review The StarCraft Multi-Agent Challenge

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.131650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36df1842-a95a-4bdb-93c3-dc215743678e · outbound

This paper cites Cityflow: Amulti-agentreinforcementlearning environment for large scale city traffic scenario.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Cityflow: Amulti-agentreinforcementlearning environment for large scale city traffic scenario

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.226171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a69144-0bea-4f2f-b124-1db10b013dc5 · outbound

This paper cites Google research football: A novel reinforcement learning environment.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Google research football: A novel reinforcement learning environment

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.270406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e2b72f-7a80-44e7-91f6-0be1028f01e4 · outbound

This paper cites Shaq: Incorporating shap- ley value theory into multi-agent q-learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Shaq: Incorporating shap- ley value theory into multi-agent q-learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.322930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968eed5f-7fca-41b0-b009-f27a79e367e0 · outbound

This paper cites Learning correlated communication topology in multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Learning correlated communication topology in multi-agent reinforcement learning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.394074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a882716-132c-496b-86b1-6eed3294d532 · outbound

This paper cites Facmac: Factored multi-agent centralised policy gradients.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Facmac: Factored multi-agent centralised policy gradients

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.448222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187d299c-0158-4063-ad9d-51dab532fe3a · outbound

This paper cites Shapley q-value: A local reward approach to solve global reward games.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Shapley q-value: A local reward approach to solve global reward games

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.507030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97825d7d-1f68-4e67-b6d2-acb5dbdb88aa · outbound

This paper cites Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:59.273844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84bf7819-75ae-4946-a4bc-0d9d3a9ee72b · outbound

This paper cites Model-free mean-field reinforcement learning: mean-field mdp and mean-field q-learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Model-free mean-field reinforcement learning: mean-field mdp and mean-field q-learning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.688063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2313382a-c76e-4846-a8df-201d1c4cfa00 · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning.Advances in neural information processing systems, 29, 2016.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Learning to communicate with deep multi-agent reinforcement learning.Advances in neural information processing systems, 29, 2016

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.755100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a98fdd1a-6609-4746-ab49-8ab009cdc1d8 · outbound

This paper cites Learning multiagent communication with backprop- agation.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Learning multiagent communication with backprop- agation

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.843848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597d1900-586b-4566-a113-b6fec07fe698 · outbound

This paper cites Learning structured communication for multi-agent reinforcement learning.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Learning structured communication for multi-agent reinforcement learning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.912357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b479907-8072-4f78-a28e-4c5e8b2aae38 · outbound

This paper cites Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.998822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9801fe57-121e-478f-aa61-f1a24951ddf2 · outbound

This paper cites Offline pre-trained multi-agent decision transformer.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Offline pre-trained multi-agent decision transformer

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:57.052121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7606781d-9617-4c41-a680-c24168f5da4b · outbound

This paper cites Hgap: boosting permutation invariant and permutation equivariant in multi-agent reinforcement learning via graph attention network.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Hgap: boosting permutation invariant and permutation equivariant in multi-agent reinforcement learning via graph attention network

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:57.122356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers