Applications

Learning Diverse Policies in MOBA Games via Macro-Goals NeurIPS 2021 Learning Eye-in-Hand Camera Calibration from a Single Image CoRL 2021 Learning Feasibility to Imitate Demonstrators with Different Dynamics CoRL 2021 Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Learning in two-player zero-sum partially observable Markov games with perfect recall NeurIPS 2021 Learning Knowledge Graph-based World Models of Textual Environments NeurIPS 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NeurIPS 2021 Learning Multimodal Rewards from Rankings CoRL 2021 Learning Multi-Stage Tasks with One Demonstration via Self-Replay CoRL 2021 Learning Off-Policy with Online Planning CoRL 2021 Learning Proofs of Motion Planning Infeasibility RSS 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Learning Task Informed Abstractions ICML 2021 Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties CoRL 2021 Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NeurIPS 2021 Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CoRL 2021 Learning to Represent Action Values as a Hypergraph on the Action Vertices ICLR 2021 Learning to Set Waypoints for Audio-Visual Navigation ICLR 2021 Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization NeurIPS 2021 Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control AAAI 2021 Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021