[1]. Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
[2]. MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
[1]. Generative Adversarial Inverse Multiagent Learning
[1]. Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
[2]. A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
[3]. Let Models Speak Ciphers: Multiagent Debate through Embeddings
[4]. Neural Neighborhood Search for Multi-agent Path Finding
[5]. On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
[6]. Who to imitate: Imitating desired behavior from divserse multi-agent datasets
[7]. Learning Multi-Agent Communication from Graph Modeling Perspective
[8]. Efficient Multi-agent Reinforcement Learning by Planning
[9]. Sample-Efficient Multi-Agent RL: An Optimization Perspective
[10]. Learning Multi-Agent Communication with Contrastive Learning
[11]. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
[12]. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
[13]. Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
[14]. Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
