Robotics

Active Domain Randomization CoRL 2019 Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs NeurIPS 2019 Adversarial Active Exploration for Inverse Dynamics Model Learning CoRL 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation NeurIPS 2019 A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019 A Modular Optimization Framework for Localization and Mapping RSS 2019 Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CoRL 2019 A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots CoRL 2019 Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019 Asynchronous Methods for Model-Based Reinforcement Learning CoRL 2019 Automated Shapeshifting for Function Recovery in Damaged Robots RSS 2019 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards IJCAI 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Bayesian Policy Optimization for Model Uncertainty ICLR 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 Collaborative Evolutionary Reinforcement Learning ICML 2019 Competitive experience replay ICLR 2019 Composing Complex Skills by Learning Transition Policies ICLR 2019 Compositional Plan Vectors NeurIPS 2019 Conditional Neural Movement Primitives RSS 2019 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019