Reinforcement Learning

Learning Options with Interest Functions AAAI 2019 Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Understand Goal Specifications by Modelling Reward ICLR 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019 Metalearned Neural Memory NeurIPS 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Multi-Agent Common Knowledge Reinforcement Learning NeurIPS 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Neural Machine Translation with Adequacy-Oriented Learning AAAI 2019 Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NeurIPS 2019 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019 On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Planning in entropy-regularized Markov decision processes and games NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP 2019 Reinforcement Learning under Threats AAAI 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks CVPR 2019