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Multi-Agent System
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
Heterogeneous Value Alignment Evaluation for Large Language Models
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
A Contextual Combinatorial Bandit Approach to Negotiation
Fast Peer Adaptation with Context-aware Exploration
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
ProAgent: Building Proactive Cooperative Agents with Large Language Models
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
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