Multi-Agent Systems

Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract) IJCAI 2023 Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning IJCAI 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NeurIPS 2023 Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning IJCAI 2023 DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning NeurIPS 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 Diverse Conventions for Human-AI Collaboration NeurIPS 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023 Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL NeurIPS 2023 Dynamic Handover: Throw and Catch with Bimanual Hands CoRL 2023 Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CoRL 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NeurIPS 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Embodied, Intelligent Communication for Multi-Agent Cooperation AAAI 2023 Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing AAAI 2023 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023 Explainable Multi-Agent Reinforcement Learning for Temporal Queries IJCAI 2023 Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NeurIPS 2023 Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks IJCAI 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023