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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Gap-Dependent Bounds for Two-Player Markov Games AISTATS 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022
Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning AISTATS 2022
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ACL 2022
Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation EMNLP 2022
Self-Explaining Deviations for Coordination NIPS 2022
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network ACML 2022
Reinforcement learning in many-agent settings under partial observability UAI 2022
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning UAI 2022
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI 2022
Learning in Markov games: Can we exploit a general-sum opponent? UAI 2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM RSS 2022
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) JMLR 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022
Toward Policy Explanations for Multi-Agent Reinforcement Learning IJCAI 2022
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks IJCAI 2022
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs IJCAI 2022
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information IJCAI 2022
Exploring the Benefits of Teams in Multiagent Learning IJCAI 2022
Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations IJCAI 2022
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method IJCAI 2022