Multi-Agent Systems

Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation CoRL 2022 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NeurIPS 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria ICLR 2022 Learning in Markov games: Can we exploit a general-sum opponent? UAI 2022 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Learning Options via Compression NeurIPS 2022 Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022 Learning to Mitigate AI Collusion on Economic Platforms NeurIPS 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NeurIPS 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Lifting in multi-agent systems under uncertainty UAI 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022 MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer ICML 2022 MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control NeurIPS 2022 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022 Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NeurIPS 2022 Model-Based Opponent Modeling NeurIPS 2022 Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information IJCAI 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022