policy learning

Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Beam Search Policies via Imitation Learning NeurIPS 2018 Learning Deep Sketch Abstraction CVPR 2018 Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018 Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018 Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018 Learning to Multi-Task by Active Sampling ICLR 2018 Learning to Solve SMT Formulas NeurIPS 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 META LEARNING SHARED HIERARCHIES ICLR 2018 Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 Policies Modulating Trajectory Generators CoRL 2018 Risk-Aware Active Inverse Reinforcement Learning CoRL 2018 Robot Task Interruption by Learning to Switch Among Multiple Models IJCAI 2018 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CoRL 2018 Shared Autonomy via Deep Reinforcement Learning RSS 2018 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 Synthesized Policies for Transfer and Adaptation across Tasks and Environments NeurIPS 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018