Applications

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 Robot Skills with Temporal Variational Inference ICML 2020 Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020 Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation CoRL 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 Guide Random Search ICLR 2020 Learning to Improve Multi-Robot Hallway Navigation CoRL 2020 Learning to Manipulate Deformable Objects without Demonstrations RSS 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020 Learning to Walk in the Real World with Minimal Human Effort CoRL 2020 Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning CoRL 2020 Learning with Good Feature Representations in Bandits and in RL with a Generative Model ICML 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games AAAI 2020 Leveraging Procedural Generation to Benchmark Reinforcement Learning ICML 2020 Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection RSS 2020 MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI 2020 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NeurIPS 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020