Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:01:25.746947Z
Paper Citation Record · LEDGER
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2508.14131.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
17 of 17 outbound references displayed
- verified exact2
- verified fuzzy9
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 043a0121-623d-405a-8acf-2b0998f467ef · outbound
This paper cites cooperative agents.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents cooperative agents
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:43.446859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 151293dc-5cc2-41aa-8eea-fa547cec58d6 · outbound
This paper cites an unresolved cited work.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:01:43.294825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5dac44fd-5103-4128-96ab-8a5ba1832ab6 · outbound
This paper cites Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:01:24.672474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bdc3a36-f70a-4835-85d5-defe95fe985a · outbound
This paper cites an unresolved cited work.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:01:43.110159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 500dac7a-57af-4f21-86dc-4fdc9dc403c7 · outbound
This paper cites an unresolved cited work.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Unresolved cited work
Reference 5
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T19:01:41.504040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c184e88-e48a-44a4-b52b-559d6407adef · outbound
This paper cites Proximal Policy Optimization Algorithms.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Proximal Policy Optimization Algorithms
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:01:24.930659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e0e80c6-e0fa-4a7b-a2a5-d50c512acbb0 · outbound
This paper cites Multi-agent actor-critic for mixed cooperative- competitive environments[J].
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Multi-agent actor-critic for mixed cooperative- competitive environments[J]
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.947513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 92094604-43a0-4534-8d2f-3fa40d98677a · outbound
This paper cites A Concise Introduction to Decentralized POMDPs[M].
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents A Concise Introduction to Decentralized POMDPs[M]
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.806490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7e269cbe-8c9b-43b4-9f90-2d251ed12abe · outbound
This paper cites Cooperative multi-agent control using deep reinforcement learning[C]//International Conference on Autonomous Agents and Multiagent Systems.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Cooperative multi-agent control using deep reinforcement learning[C]//International Conference on Autonomous Agents and Multiagent Systems
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.623696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fef48fc7-88c1-471a-9e50-d0874e5a0944 · outbound
This paper cites Learning to communicate with deep multi -agent reinforcement learning[C]//Advances in Neural Information Processing Systems.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Learning to communicate with deep multi -agent reinforcement learning[C]//Advances in Neural Information Processing Systems
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.457021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 70b407a2-6915-4a11-9762-2beae3f77480 · outbound
This paper cites Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:01:26.289546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 694cd9b3-7bf5-4c13-b009-33238870db10 · outbound
This paper cites Multi-agent reinforcement learning: A review of challenges and applications[J].
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Multi-agent reinforcement learning: A review of challenges and applications[J]
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.275661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8559e8bf-c634-469e-b016-654a1abc7ca7 · outbound
This paper cites Coordinating multi-agent reinforcement learning with limited communication[C]//Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Coordinating multi-agent reinforcement learning with limited communication[C]//Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:42.057441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5fe9f3c6-d817-4f65-96d3-2350215d50b4 · outbound
This paper cites QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning[C]//International Conference on Machine Learning.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning[C]//International Conference on Machine Learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:41.909163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8415b5bd-6871-40c2-880d-c52f651dc095 · outbound
This paper cites Tesseract: Tensorised Actors for Multi- Agent Reinforcement Learning[C]//International Conference on Machine Learning.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Tesseract: Tensorised Actors for Multi- Agent Reinforcement Learning[C]//International Conference on Machine Learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:01:41.691669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2abce512-9734-46a9-acc7-af9c0fe8f909 · outbound
This paper cites Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:01:25.675241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dda40da9-881a-4b8d-9e3d-6b7ccd9a7433 · outbound
This paper cites Imitation Learning with Concurrent Actions in 3D Games.
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Imitation Learning with Concurrent Actions in 3D Games
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:01:26.080383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.