Methods

Large Scale Markov Decision Processes with Changing Rewards NeurIPS 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Learning Action Representations for Reinforcement Learning ICML 2019 Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning NeurIPS 2019 Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Learning dynamic polynomial proofs NeurIPS 2019 Learning Factored Markov Decision Processes with Unawareness UAI 2019 Learning Fairness in Multi-Agent Systems NeurIPS 2019 Learning from a Learner ICML 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams CoRL 2019 Learning from Trajectories via Subgoal Discovery NeurIPS 2019 Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach NAACL 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Local Search Heuristics for Boolean Satisfiability NeurIPS 2019 Learning Mean-Field Games NeurIPS 2019 Learning Multi-Level Hierarchies with Hindsight ICLR 2019 Learning Novel Policies For Tasks ICML 2019 Learning Options with Interest Functions AAAI 2019 Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019