Reinforcement Learning

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 Conditional Neural Movement Primitives RSS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge 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 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Control What You Can: Intrinsically Motivated Task-Planning Agent NeurIPS 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Correlated Learning for Aggregation Systems UAI 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations ICCV 2019 Co-training for Policy Learning UAI 2019 Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks IJCAI 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 CRAVES: Controlling Robotic Arm With a Vision-Based Economic System CVPR 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019