Multi-Agent Systems

Shield Decentralization for Safe Multi-Agent Reinforcement Learning NeurIPS 2022 Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NeurIPS 2022 Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System CoRL 2022 Society of Agents: Regret Bounds of Concurrent Thompson Sampling NeurIPS 2022 Sound Adversarial Audio-Visual Navigation ICLR 2022 SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NeurIPS 2022 Surprise Minimizing Multi-Agent Learning with Energy-based Models NeurIPS 2022 Symmetric Machine Theory of Mind ICML 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NeurIPS 2022 Toward Policy Explanations for Multi-Agent Reinforcement Learning IJCAI 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NeurIPS 2022 Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NeurIPS 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022 Universally Expressive Communication in Multi-Agent Reinforcement Learning NeurIPS 2022 Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract) AAAI 2022 VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract) AAAI 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS 2022 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition EMNLP 2021 Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021