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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021
Quantile Bandits for Best Arms Identification ICML 2021
Motivating Physical Activity via Competitive Human-Robot Interaction CORL 2021
Towards Distraction-Robust Active Visual Tracking ICML 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning ICML 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL AISTATS 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021
Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021
Thompson sampling for Markov games with piecewise stationary opponent policies UAI 2021
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition EMNLP 2021
Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021
Minimax sample complexity for turn-based stochastic game UAI 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021
Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning IJCAI 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market IJCAI 2021