Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks | Paper Citation Record

Observation 1f95496e-babd-4985-a496-4c097e772e89 · outbound

This paper cites A comprehensive survey on multi-agent reinforcement learning for connected and automated vehicles.Sensors, 23(10):4710, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks A comprehensive survey on multi-agent reinforcement learning for connected and automated vehicles.Sensors, 23(10):4710, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.830863Z

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Observation 85a810b9-e726-4122-b4b8-8672d8705a18 · outbound

This paper cites an unresolved cited work.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:34.816616Z

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Observation 461e1072-91b7-4ae3-9809-eab63ce303db · outbound

This paper cites Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:37:34.198529Z

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Observation 4d0e2161-1cb5-4e6a-aa0f-d52e77652eea · outbound

This paper cites Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-uav control.IEEE Transactions on Industrial Informatics, 18(10):7086–7096, 2022.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-uav control.IEEE Transactions on Industrial Informatics, 18(10):7086–7096, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.802572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45e979f8-8f84-48a8-8f89-2724d0fdf67c · outbound

This paper cites an unresolved cited work.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:34.788165Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 961502ca-0e04-426a-bb91-e0ffb6ea8df0 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.615961Z

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Observation dcb25e8a-32c2-4d2d-8ef3-7e329b39133e · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.621191Z

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Unavailable: canonical work link unavailable.

Observation 1e74cc00-8ae3-449a-b23e-a0266074ef78 · outbound

This paper cites Robust llm-based multi-agent system with action negotiation and sharing redundancy enhancement.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Robust llm-based multi-agent system with action negotiation and sharing redundancy enhancement

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.764982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6c18cee-f530-4b2c-b544-dfcc770d8b89 · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.629826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92feeb6-ae31-4a74-8223-42d50ca99b7b · outbound

This paper cites The byzantine generals problem.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks The byzantine generals problem

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.740394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ddb354c-6055-49ce-8b2f-1f52249dd301 · outbound

This paper cites Learning from history for byzantine robust optimization.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Learning from history for byzantine robust optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.726461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f7258b4-f119-478e-9c91-1dc5ae02f1ac · outbound

This paper cites Adversarial Policies: Attacking Deep Reinforcement Learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Adversarial Policies: Attacking Deep Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.643023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a717d7e3-c0dd-477b-8dcd-5604582d1fc9 · outbound

This paper cites On the robustness of cooperative multi-agent reinforcement learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks On the robustness of cooperative multi-agent reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.712190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06209aab-a72b-43b6-a19d-42fd3db4d702 · outbound

This paper cites Attacking cooperative multi-agent reinforcement learning by adversarial minority influence.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Attacking cooperative multi-agent reinforcement learning by adversarial minority influence

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.698024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aad9e6e3-1f10-4a63-a633-1a81e75c3bfa · outbound

This paper cites Empirical study on robustness and resilience in cooperative multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 38:44009–44052, 2026.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Empirical study on robustness and resilience in cooperative multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 38:44009–44052, 2026

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.683537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a4d3f07-d084-4409-be8f-dc2f990bb390 · outbound

This paper cites Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.661753Z

Source-reported events for the cited work

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Observation 5e684cdd-ac2f-4e1d-af5f-8e729dc8bec0 · outbound

This paper cites The Statistical Complexity of Interactive Decision Making.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks The Statistical Complexity of Interactive Decision Making

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.665958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d36f409-86c1-4d41-9a17-abf66e679a64 · outbound

This paper cites Regret Bounds for Robust Online Decision Making.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Regret Bounds for Robust Online Decision Making

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.670712Z

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Unavailable: canonical work link unavailable.

Observation 4e003576-bcb2-4b98-92e6-bf83689f8a23 · outbound

This paper cites Action robust reinforcement learning and applications in continuous control.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Action robust reinforcement learning and applications in continuous control

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.659560Z

Source-reported events for the cited work

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Observation 3d939808-957e-4d20-8bc3-67b195c333a2 · outbound

This paper cites Resilient multi-agent reinforcement learning with adversarial value decomposition.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Resilient multi-agent reinforcement learning with adversarial value decomposition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.645362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67efacdf-9c50-4e9f-92d7-1df816d09712 · outbound

This paper cites Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.631367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cffc3c5-b9c7-4156-abc3-d47200021b12 · outbound

This paper cites an unresolved cited work.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:34.616586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21996f1d-8760-4e0c-bd9c-072e0b6525ce · outbound

This paper cites Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.691968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93925888-ecaa-46f4-8b79-a56b65397ec8 · outbound

This paper cites Roping in uncertainty: Robustness and regularization in markov games.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Roping in uncertainty: Robustness and regularization in markov games

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.602288Z

Source-reported events for the cited work

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Observation f5e57ce0-8db4-4aea-acdf-3d72e96f9b7e · outbound

This paper cites Byzantine robust cooperative multi-agent reinforcement learning as a bayesian game.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine robust cooperative multi-agent reinforcement learning as a bayesian game

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.587528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 648cb9d8-113c-4a42-be98-e429180c478f · outbound

This paper cites Defending against unknown corrupted agents: Reinforcement learning of adversarially robust nash equilibria.Transactions on Machine Learning Research, 2024.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Defending against unknown corrupted agents: Reinforcement learning of adversarially robust nash equilibria.Transactions on Machine Learning Research, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.572806Z

Source-reported events for the cited work

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Observation 9bc57015-2331-457b-a3ae-c35fb7db6abb · outbound

This paper cites Byzantine-robust online and offline distributed reinforcement learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine-robust online and offline distributed reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.557994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62969dcc-4d3b-45d1-9042-fbdad033233d · outbound

This paper cites Byzantine tolerant algorithms for federated learning.IEEE Transactions on Network Science and Engineering, 10(6):3172–3183, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine tolerant algorithms for federated learning.IEEE Transactions on Network Science and Engineering, 10(6):3172–3183, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.543672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c8a3e77-1c17-43a3-881e-561c084e1f64 · outbound

This paper cites Provably robust federated reinforcement learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Provably robust federated reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.528256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6236f046-10e3-4e4e-84ae-2d1bc9d467b6 · outbound

This paper cites Br- defedrl: Byzantine-robust decentralized federated reinforcement learning with fast convergence and communication efficiency.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Br- defedrl: Byzantine-robust decentralized federated reinforcement learning with fast convergence and communication efficiency

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.514402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2995c4b-eca3-4bc2-bd7b-bd1ccf39a5f2 · outbound

This paper cites Byzantine-robust federated reinforcement learning via critical parameter analysis.International Journal of Machine Learning and Cybernetics, 16(12):10607–10620, 2025.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine-robust federated reinforcement learning via critical parameter analysis.International Journal of Machine Learning and Cybernetics, 16(12):10607–10620, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.500149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 387aa618-f968-4346-a80d-12898d9ec9be · outbound

This paper cites Byzantine-robust federated deep deterministic policy gradient.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine-robust federated deep deterministic policy gradient

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.484995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59d58499-8a4e-4054-8f53-05d3d5a78888 · outbound

This paper cites Byzantine-robust federated learning with optimal statistical rates.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Byzantine-robust federated learning with optimal statistical rates

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.470381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da584e03-6665-4ee6-940b-4114fc46a1e8 · outbound

This paper cites Robust control of markov decision processes with uncertain transition matrices.Operations Research, 53(5):780–798, 2005.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Robust control of markov decision processes with uncertain transition matrices.Operations Research, 53(5):780–798, 2005

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.742926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6f2cef-ac8b-4b05-b838-8f87fe9b0088 · outbound

This paper cites Robust markov decision processes.Mathematics of Operations Research, 38(1):153–183, 2013.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Robust markov decision processes.Mathematics of Operations Research, 38(1):153–183, 2013

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.444857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 709eeea1-0e85-4dc5-92c3-7aea72446f56 · outbound

This paper cites Sample complexity of robust reinforcement learning with a generative model.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Sample complexity of robust reinforcement learning with a generative model

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.429428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbe48c57-fed7-4482-a51e-35d9f80bc986 · outbound

This paper cites Toward theoretical understandings of robust markov decision processes: Sample complexity and asymptotics.The Annals of Statistics, 50(6):3223–3248, 2022.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Toward theoretical understandings of robust markov decision processes: Sample complexity and asymptotics.The Annals of Statistics, 50(6):3223–3248, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.414704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d7c99203-09f1-416d-aeb3-0f61e06a57d4 · outbound

This paper cites The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.760273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e740092-c2e7-4b10-a2a7-87f507c45874 · outbound

This paper cites Online robust reinforcement learning with model uncertainty.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Online robust reinforcement learning with model uncertainty

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.399673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 346c9fc6-348f-4e3f-baea-f28d2b42fcbf · outbound

This paper cites an unresolved cited work.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:34.385084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdaa6028-c9c3-45e7-8420-18404ba351f8 · outbound

This paper cites Sample complexity of distributionally robust off-dynamics reinforcement learning with online interaction.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Sample complexity of distributionally robust off-dynamics reinforcement learning with online interaction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.370460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb84cf09-ff1d-4514-b679-ec889e8c81a6 · outbound

This paper cites Corruption-robust offline reinforcement learning with general function approximation.Advances in Neural Information Processing Systems, 36:36208–36221, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Corruption-robust offline reinforcement learning with general function approximation.Advances in Neural Information Processing Systems, 36:36208–36221, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.778352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8357c133-8888-4122-8490-28d98e80e869 · outbound

This paper cites Corruption-Robust Offline Reinforcement Learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Corruption-Robust Offline Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.782694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac97d750-468a-4be0-9da3-b23e5ac4f856 · outbound

This paper cites Corruption-robust exploration in episodic reinforcement learning.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Corruption-robust exploration in episodic reinforcement learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.345537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 339d2c7d-9fd0-4023-bcbd-42bdabe2d8c1 · outbound

This paper cites Online learning in unknown markov games.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Online learning in unknown markov games

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.330508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34932280-870d-4464-9bf6-33cdbe34a823 · outbound

This paper cites Online learning for uninformed markov games: Empirical nash-value regret and non-stationarity adaptation.arXiv preprint arXiv:2602.07205, 2026.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Online learning for uninformed markov games: Empirical nash-value regret and non-stationarity adaptation.arXiv preprint arXiv:2602.07205, 2026

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:37:34.075438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee648d7c-6abb-4396-b4f4-aa4e1331f232 · outbound

This paper cites Learning markov games with adversarial opponents: Efficient algorithms and fundamental limits.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Learning markov games with adversarial opponents: Efficient algorithms and fundamental limits

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.314437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5ca4631-4a1e-48b8-80ee-2821317b84da · outbound

This paper cites an unresolved cited work.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:34.299697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26531244-f609-4e84-afd4-487d18fb677a · outbound

This paper cites The maxmin value of stochastic games with imperfect monitoring.International journal of game theory, 32(1):133–150, 2003.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks The maxmin value of stochastic games with imperfect monitoring.International journal of game theory, 32(1):133–150, 2003

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.284980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c398d7d-2595-482b-b3d2-516e3df4b8e7 · outbound

This paper cites Sample-efficient reinforcement learning of partially observable markov games.Advances in Neural Information Processing Systems, 35:18296–18308, 2022.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Sample-efficient reinforcement learning of partially observable markov games.Advances in Neural Information Processing Systems, 35:18296–18308, 2022

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.270242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53b36374-2399-49b8-9e26-86f8fc15e028 · outbound

This paper cites Fictitious play in markov games with single controller.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Fictitious play in markov games with single controller

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.254665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49afd8e0-d1a9-41e5-abfd-697278ab2e82 · outbound

This paper cites A finite-sample analysis of payoff-based independent learning in zero-sum stochastic games.Advances in Neural Information Processing Systems, 36:75826–75883, 2023.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks A finite-sample analysis of payoff-based independent learning in zero-sum stochastic games.Advances in Neural Information Processing Systems, 36:75826–75883, 2023

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.822070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638e3427-04ea-463a-9a7b-4984e7e39ae6 · outbound

This paper cites Learning in zero-sum markov games: Relaxing strong reachability and mixing time assumptions.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Learning in zero-sum markov games: Relaxing strong reachability and mixing time assumptions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.229442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8274ad05-902c-4c03-9463-ed4c06fb1009 · outbound

This paper cites Regret minimization and convergence to equilibria in general-sum markov games.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Regret minimization and convergence to equilibria in general-sum markov games

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:34.213544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13b784d1-3b32-4a97-a0e1-f4c99bb116c8 · outbound

This paper cites HX h=1 Rh # ≤E ϖ,u⋆.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks HX h=1 Rh # ≤E ϖ,u⋆

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:33.835218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers