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Multi-Agent Systems

948 directly classified papers

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Papers

Interactive Inverse Reinforcement Learning for Cooperative Games ICML 2022
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis ICML 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer ICML 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022
An Analytical Update Rule for General Policy Optimization ICML 2022
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning ICML 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022
Difference Advantage Estimation for Multi-Agent Policy Gradients ICML 2022
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning ICML 2022
Divergence-Regularized Multi-Agent Actor-Critic ICML 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning ICML 2022
Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022
Self-Organized Polynomial-Time Coordination Graphs ICML 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022
Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping L4DC 2022