Applications

Bayesian Policy Optimization for Model Uncertainty ICLR 2019 Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019 Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Collaborative Evolutionary Reinforcement Learning ICML 2019 Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019 Competitive experience replay ICLR 2019 Composing Complex Skills by Learning Transition Policies ICLR 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 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Control What You Can: Intrinsically Motivated Task-Planning Agent NeurIPS 2019 CRAVES: Controlling Robotic Arm With a Vision-Based Economic System CVPR 2019 CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019