Methods

Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020 Learning Goal-oriented Dialogue Policy with opposite Agent Awareness AACL 2020 Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2020 Learning Individually Inferred Communication for Multi-Agent Cooperation NeurIPS 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020 Learning Multi-Agent Communication through Structured Attentive Reasoning NeurIPS 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020 Learning Object-conditioned Exploration using Distributed Soft Actor Critic CoRL 2020 Learning Object Manipulation Skills via Approximate State Estimation from Real Videos CoRL 2020 Learning Retrospective Knowledge with Reverse Reinforcement Learning NeurIPS 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 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