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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning NIPS 2020
Learning Multi-Agent Communication through Structured Attentive Reasoning NIPS 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NIPS 2020
Robust Multi-Agent Reinforcement Learning with Model Uncertainty NIPS 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning NIPS 2020
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NIPS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games NIPS 2020
Learning to Incentivize Other Learning Agents NIPS 2020
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NIPS 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences NIPS 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control NIPS 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information NIPS 2020
Learning Individually Inferred Communication for Multi-Agent Cooperation NIPS 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020
Curriculum learning for multilevel budgeted combinatorial problems NIPS 2020
Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition NIPS 2020
Asynchronous Coagent Networks ICML 2020
“Other-Play” for Zero-Shot Coordination ICML 2020
Growing Action Spaces ICML 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games ICML 2020
Deep Coordination Graphs ICML 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020