Multi-Agent Systems

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 The Emergence of Individuality ICML 2021 Thompson sampling for Markov games with piecewise stationary opponent policies UAI 2021 Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning ACML 2021 Towards Distraction-Robust Active Visual Tracking ICML 2021 Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NeurIPS 2021 Tractable contextual bandits beyond realizability AISTATS 2021 Trajectory Diversity for Zero-Shot Coordination ICML 2021 Transferable Dialogue Systems and User Simulators ACL 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021 Value-Decomposition Multi-Agent Actor-Critics AAAI 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 VAST: Value Function Factorization with Variable Agent Sub-Teams NeurIPS 2021 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020 Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games ICLR 2020 A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning NeurIPS 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 A Generalized Training Approach for Multiagent Learning ICLR 2020 A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence AAAI 2020