Reinforcement Learning

Neural Map: Structured Memory for Deep Reinforcement Learning ICLR 2018 Object-Oriented Dynamics Predictor NeurIPS 2018 On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 Playing hard exploration games by watching YouTube NeurIPS 2018 Policies Modulating Trajectory Generators CoRL 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NeurIPS 2018 Reinforcement Cutting-Agent Learning for Video Object Segmentation CVPR 2018 [RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning EMNLP 2018 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 Transfer of Deep Reactive Policies for MDP Planning NeurIPS 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Unsupervised Video Object Segmentation for Deep Reinforcement Learning NeurIPS 2018 Verifiable Reinforcement Learning via Policy Extraction NeurIPS 2018 Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning NeurIPS 2018 Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Affordable On-line Dialogue Policy Learning EMNLP 2017 Approximate Value Iteration with Temporally Extended Actions (Extended Abstract) IJCAI 2017 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Inverse Reward Design NeurIPS 2017