Multi-Agent Systems

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021 Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning IJCAI 2021 Dynamic population-based meta-learning for multi-agent communication with natural language NeurIPS 2021 Emergent Discrete Communication in Semantic Spaces NeurIPS 2021 Emergent Prosociality in Multi-Agent Games Through Gifting IJCAI 2021 Emergent Road Rules In Multi-Agent Driving Environments ICLR 2021 Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NeurIPS 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NeurIPS 2021 FACMAC: Factored Multi-Agent Centralised Policy Gradients NeurIPS 2021 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee NeurIPS 2021 Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021 FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021 Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021 Inference-Based Deterministic Messaging For Multi-Agent Communication AAAI 2021 Interactive Learning from Activity Description ICML 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021 Learning Equilibria in Matching Markets from Bandit Feedback NeurIPS 2021 Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning ICML 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021