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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Learning Options via Compression NIPS 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games ALT 2022
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure ALT 2022
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System CORL 2022
Concept Learning for Interpretable Multi-Agent Reinforcement Learning CORL 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation CORL 2022
Lifting in multi-agent systems under uncertainty UAI 2022
VAST: Value Function Factorization with Variable Agent Sub-Teams NIPS 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NIPS 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NIPS 2021
Emergent Prosociality in Multi-Agent Games Through Gifting IJCAI 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021
Solving Partially Observable Stochastic Shortest-Path Games IJCAI 2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CORL 2021
Social Interactions as Recursive MDPs CORL 2021
Competitive policy optimization UAI 2021
Communication efficient parallel reinforcement learning UAI 2021
Trajectory Diversity for Zero-Shot Coordination ICML 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021