Deep RL

Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Bayesian Policy Optimization for Model Uncertainty ICLR 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NeurIPS 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 CEM-RL: Combining evolutionary and gradient-based methods for policy search ICLR 2019 Certified Adversarial Robustness for Deep Reinforcement Learning CoRL 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019 Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019 Collaborative Evolutionary Reinforcement Learning ICML 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 Combined Reinforcement Learning via Abstract Representations AAAI 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019 Competitive experience replay ICLR 2019 Composable Modular Reinforcement Learning AAAI 2019 Composing Entropic Policies using Divergence Correction ICML 2019 Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning CoRL 2019 Context-Reinforced Semantic Segmentation CVPR 2019