multi-agent reinforcement learning

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Mulit-agent Reinforcement Learning Systems (Abstract Reprint) AAAI 2026 Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning CVPR 2026 Learning to Cooperate with Minimal Observability AAAI 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026 LLM Collaboration with Multi-Agent Reinforcement Learning AAAI 2026 MangoBench: A Benchmark for Multi-Agent Goal-Conditioned Offline Reinforcement Learning CVPR 2026 MARCH: Multi-Agent Reinforced Check for Hallucination ACL 2026 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026 MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026 MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation ACL 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets AAAI 2026 Multi-Agent RL with Invisible Collaborators: Marginal Advantage Estimation for Indirect Cooperation UAI 2026 Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems AAAI 2026 rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection ACL 2026 Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026 Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 Scaling Up Cooperative Multi-Agent Reinforcement Learning Through Hierarchical Heterogeneous Modular Architectures AAAI 2026 Sparse Action-Dependent Policy Iteration under Coordination Structures: Convergence and Optimality UAI 2026 Stationary Robust Mean-Field Games under Model Mismatches UAI 2026 Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026 Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026 TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations L4DC 2026 TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026 Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning AAAI 2026