policy learning

Active Exploration in Markov Decision Processes AISTATS 2019 Adaptive Auxiliary Task Weighting for Reinforcement Learning NeurIPS 2019 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019 A PAC Framework for Aggregating Agents’ Judgments AAAI 2019 Augmenting Markov Decision Processes with Advising AAAI 2019 Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Causal Confusion in Imitation Learning NeurIPS 2019 Classifying Treatment Responders Under Causal Effect Monotonicity ICML 2019 Compiler Auto-Vectorization with Imitation Learning NeurIPS 2019 Composing Value Functions in Reinforcement Learning ICML 2019 Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning CoRL 2019 Co-training for Policy Learning UAI 2019 Cross-View Policy Learning for Street Navigation ICCV 2019 Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies AAAI 2019 Distilling Policy Distillation AISTATS 2019 End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 2019 Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019 Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019 Guiding Policies with Language via Meta-Learning ICLR 2019 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019