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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL NIPS 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning JMLR 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning NIPS 2023
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023
Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023
Swarm Reinforcement Learning for Adaptive Mesh Refinement NIPS 2023
Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NIPS 2023
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NIPS 2023
Convex-Concave Zero-Sum Markov Stackelberg Games NIPS 2023
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NIPS 2023
Hierarchical Multi-Agent Skill Discovery NIPS 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning NIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NIPS 2023