Multi-Agent Systems

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Learning Goal-oriented Dialogue Policy with opposite Agent Awareness AACL 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2020 Learning Individually Inferred Communication for Multi-Agent Cooperation NeurIPS 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Multi-Agent Communication through Structured Attentive Reasoning NeurIPS 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Learning to Communicate Implicitly by Actions AAAI 2020 Learning to Incentivize Other Learning Agents NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification IJCAI 2020 MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous CoRL 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020