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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Coordinated Proximal Policy Optimization NIPS 2021
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NIPS 2021
Provably efficient multi-task reinforcement learning with model transfer NIPS 2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee NIPS 2021
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games AAAI 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021
Off-Belief Learning ICML 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
Learning Equilibria in Matching Markets from Bandit Feedback NIPS 2021
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021
The Emergence of Individuality ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021
Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning ACML 2021
Value-Decomposition Multi-Agent Actor-Critics AAAI 2021
Scaling Up Multi-Task Robotic Reinforcement Learning CORL 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NIPS 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NIPS 2021
Multi-Agent Reinforcement Learning in Stochastic Networked Systems NIPS 2021