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Multi-Agent Systems

1,251 papers

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Papers

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning ICML 2025 Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025 Corrupted Learning Dynamics in Games COLT 2025 Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making ICML 2025 Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments ICML 2025 Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing IJCAI 2025 Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination ICML 2025 Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching COLT 2025 Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math ACL 2025 Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning CoRL 2025 Discovering Options That Minimize Average Planning Time AAAI 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Dual-Agent Reinforcement Learning for Automated Feature Generation IJCAI 2025 Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025 Efficient Dynamic Ensembling for Multiple LLM Experts IJCAI 2025 Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration ICML 2025 Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story ICML 2025 eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels ICLR 2025 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025 Experimental Design for Semiparametric Bandits COLT 2025 Explanations for Multi-Agent Reinforcement Learning AAAI 2025 Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning ICML 2025 Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning L4DC 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank ICLR 2025 Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning IJCAI 2025