Multi-Agent Systems

It Takes Two to Lie: One to Lie, and One to Listen ACL 2020 JANE: Jointly Adversarial Network Embedding IJCAI 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection COLING 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020 Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis AISTATS 2020 “LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently CoNLL 2020 Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication RSS 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 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 Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks NeurIPS 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning the Value of Teamwork to Form Efficient Teams AAAI 2020 Learning to Communicate and Correct Pose Errors CoRL 2020 Learning to Communicate Implicitly by Actions AAAI 2020 Learning to Improve Multi-Robot Hallway Navigation CoRL 2020 Learning to Interactively Learn and Assist AAAI 2020