Methods

Causal Confusion in Imitation Learning NeurIPS 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 Complex Skills by Learning Transition Policies ICLR 2019 Composing Entropic Policies using Divergence Correction ICML 2019 Composing Value Functions in Reinforcement Learning ICML 2019 Compositional Plan Vectors NeurIPS 2019 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019 Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning CoRL 2019 Constrained Reinforcement Learning Has Zero Duality Gap NeurIPS 2019 Constraint Games for Stable and Optimal Allocation of Demands in SDN IJCAI 2019 Context-Reinforced Semantic Segmentation CVPR 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Correlated Learning for Aggregation Systems UAI 2019