{"total":23,"rows":[{"id":"2109.06668","title":"Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain","created":"2021-09-14","cited_by_count":58,"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":"2312.10256","title":"Multi-agent Reinforcement Learning: A Comprehensive Survey","created":"2023-12-15","cited_by_count":33,"area":null},{"id":"2311.01753","title":"RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization","created":"2023-11-03","cited_by_count":20,"area":null},{"id":"2110.00304","title":"Divergence-Regularized Multi-Agent Actor-Critic","created":"2021-10-01","cited_by_count":15,"area":null},{"id":"2403.19253","title":"Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning","created":"2024-03-28","cited_by_count":7,"area":null},{"id":"2210.07636","title":"Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning","created":"2022-10-14","cited_by_count":6,"area":null},{"id":"2206.14170","title":"Risk Perspective Exploration in Distributional Reinforcement Learning","created":"2022-06-28","cited_by_count":5,"area":null},{"id":"2312.07025","title":"Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning","created":"2023-12-12","cited_by_count":4,"area":null},{"id":"2202.10134","title":"MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning","created":"2022-02-21","cited_by_count":3,"area":null},{"id":"2408.07098","title":"QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition","created":"2024-08-12","cited_by_count":3,"area":null},{"id":"2211.11940","title":"Decision-making with Speculative Opponent Models","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2207.02007","title":"The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions","created":"2022-07-05","cited_by_count":1,"area":null},{"id":"2302.02180","title":"Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning","created":"2023-02-04","cited_by_count":1,"area":null},{"id":"2303.01768","title":"Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning","created":"2023-03-03","cited_by_count":1,"area":null},{"id":"2306.02430","title":"A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning","created":"2023-06-04","cited_by_count":1,"area":null},{"id":"2501.12061","title":"Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2201.10803","title":"Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2202.11322","title":"Efficient CDF Approximations for Normalizing Flows","created":"2022-02-23","cited_by_count":0,"area":null},{"id":"2502.03506","title":"Optimistic {\\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2511.18671","title":"Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2606.04492","title":"Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.25335","title":"Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods","created":"2026-06-24","cited_by_count":0,"area":null}],"next_cursor":null}