Multi-Agent Systems

Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 BRExIt: On Opponent Modelling in Expert Iteration IJCAI 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? JMLR 2023 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning ICLR 2023 CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces L4DC 2023 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023 Complementary Attention for Multi-Agent Reinforcement Learning ICML 2023 Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation RSS 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Conservative Offline Policy Adaptation in Multi-Agent Games NeurIPS 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Convex-Concave Zero-Sum Markov Stackelberg Games NeurIPS 2023 Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions AAAI 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning NeurIPS 2023 DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning AAAI 2023