Applications

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 Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 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 Transfer Value Iteration Networks 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 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Unknown mixing times in apprenticeship and reinforcement learning UAI 2020 Value-driven Hindsight Modelling NeurIPS 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 Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search ICLR 2020 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NeurIPS 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