Reinforcement Learning

Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020 Learning Predictive Models for Ergonomic Control of Prosthetic Devices CoRL 2020 Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CoRL 2020 Learning Retrospective Knowledge with Reverse Reinforcement Learning NeurIPS 2020 Learning Robot Skills with Temporal Variational Inference ICML 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020 Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020 Learning the Globally Optimal Distributed LQ Regulator L4DC 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Learning the model-free linear quadratic regulator via random search L4DC 2020 Learning to Ask Medical Questions using Reinforcement Learning MLHC 2020 Learning to Communicate Implicitly by Actions AAAI 2020 Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation CoRL 2020 Learning to Coordinate Manipulation Skills via Skill Behavior Diversification ICLR 2020 Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes NeurIPS 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NeurIPS 2020 Learning to Follow Directions in Street View AAAI 2020 Learning to Generalize for Sequential Decision Making EMNLP 2020 Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories ICLR 2020 Learning to Guide Random Search ICLR 2020 Learning to Improve Multi-Robot Hallway Navigation CoRL 2020 Learning to Incentivize Other Learning Agents NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Manipulate Deformable Objects without Demonstrations RSS 2020