Multi-Agent Systems

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media ACL 2020 GCDST: A Graph-based and Copy-augmented Multi-domain Dialogue State Tracking EMNLP 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search AAAI 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020 GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking AAAI 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference AAAI 2020 IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data IJCAI 2020 Implicit Coordination Using FOND Planning AAAI 2020 Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Incorporating Pragmatic Reasoning Communication into Emergent Language NeurIPS 2020 Inference for Batched Bandits NeurIPS 2020 Influence-Augmented Online Planning for Complex Environments NeurIPS 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain IJCAI 2020 Information Directed Sampling for Linear Partial Monitoring COLT 2020 Information Elicitation Mechanisms for Statistical Estimation AAAI 2020 Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents AAAI 2020 Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era ACL 2020 Internal and external pressures on language emergence: least effort, object constancy and frequency EMNLP 2020 Iterative Delegations in Liquid Democracy with Restricted Preferences AAAI 2020