Reinforcement Learning

Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 Natural Option Critic AAAI 2019 Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments CoRL 2019 Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NeurIPS 2019 Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019 Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ACL 2019 Neural Topic Model with Reinforcement Learning EMNLP 2019 Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NeurIPS 2019 No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking AAAI 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 On the Correctness and Sample Complexity of Inverse Reinforcement Learning NeurIPS 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 Park: An Open Platform for Learning-Augmented Computer Systems NeurIPS 2019 Perceptual Attention-based Predictive Control CoRL 2019 Per-Decision Option Discounting ICML 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 2019 Planning in entropy-regularized Markov decision processes and games NeurIPS 2019 Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text NAACL 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019