{"total":23,"rows":[{"id":"2102.03479","title":"Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning","created":"2021-02-06","cited_by_count":68,"area":null},{"id":"2209.10485","title":"Towards a Standardised Performance Evaluation Protocol for Cooperative MARL","created":"2022-09-21","cited_by_count":49,"area":null},{"id":"2105.15013","title":"SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning","created":"2021-05-31","cited_by_count":26,"area":null},{"id":"2106.00136","title":"Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning","created":"2021-05-31","cited_by_count":25,"area":null},{"id":"2105.03363","title":"Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts","created":"2021-05-07","cited_by_count":24,"area":null},{"id":"2306.10715","title":"Maximum Entropy Heterogeneous-Agent Reinforcement Learning","created":"2023-06-19","cited_by_count":19,"area":null},{"id":"2209.12713","title":"Multi-Agent Coordination via Multi-Level Communication","created":"2022-09-26","cited_by_count":14,"area":null},{"id":"2110.00121","title":"Emergence of Theory of Mind Collaboration in Multiagent Systems","created":"2021-09-30","cited_by_count":8,"area":null},{"id":"2211.12075","title":"Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning","created":"2022-11-22","cited_by_count":4,"area":null},{"id":"2204.05576","title":"Multi-agent Actor-Critic with Time Dynamical Opponent Model","created":"2022-04-12","cited_by_count":3,"area":null},{"id":"2205.15245","title":"Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2210.05367","title":"Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2508.06836","title":"Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning","created":"2025-08-09","cited_by_count":3,"area":null},{"id":"2203.02844","title":"Recursive Reasoning Graph for Multi-Agent Reinforcement Learning","created":"2022-03-06","cited_by_count":2,"area":null},{"id":"2211.11940","title":"Decision-making with Speculative Opponent Models","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2212.02733","title":"CURO: Curriculum Learning for Relative Overgeneralization","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2306.05353","title":"Negotiated Reasoning: On Provably Addressing Relative Over-Generalization","created":"2023-06-08","cited_by_count":1,"area":null},{"id":"2309.13955","title":"Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2402.03972","title":"Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning","created":"2024-02-06","cited_by_count":1,"area":null},{"id":"2202.09722","title":"PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning","created":"2022-02-20","cited_by_count":0,"area":null},{"id":"2211.01266","title":"Knowing the Past to Predict the Future: Reinforcement Virtual Learning","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2411.11099","title":"Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2604.08944","title":"Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication","created":"2026-04-10","cited_by_count":0,"area":null}],"next_cursor":null}