Robotics

The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020 The Power of Predictions in Online Control NeurIPS 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CoRL 2020 Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CoRL 2020 Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020 TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search NeurIPS 2020 Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control CoRL 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CoRL 2020 Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps CoRL 2020 Towards Safe Policy Improvement for Non-Stationary MDPs NeurIPS 2020 Tractable Reinforcement Learning of Signal Temporal Logic Objectives L4DC 2020 Transfer Reinforcement Learning Using Output-Gated Working Memory AAAI 2020 Transparent Intent for Explainable Shared Control in Assistive Robotics IJCAI 2020 TriFinger: An Open-Source Robot for Learning Dexterity CoRL 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 Unknown mixing times in apprenticeship and reinforcement learning UAI 2020 Value Preserving State-Action Abstractions AISTATS 2020 Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles RSS 2020 Visual Imitation Made Easy CoRL 2020 Working Memory Graphs ICML 2020 ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019 A Composable Specification Language for Reinforcement Learning Tasks NeurIPS 2019 A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs ACML 2019 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019