Applications

MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control L4DC 2022 Myriad: a real-world testbed to bridge trajectory optimization and deep learning NeurIPS 2022 Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path ICML 2022 Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022 Near-Optimal Learning of Extensive-Form Games with Imperfect Information ICML 2022 Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies L4DC 2022 Neural Inverse Kinematic ICML 2022 NICE-SLAM: Neural Implicit Scalable Encoding for SLAM CVPR 2022 OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control AAAI 2022 Object-Category Aware Reinforcement Learning NeurIPS 2022 Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression NeurIPS 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 Offline Reinforcement Learning for Visual Navigation CoRL 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Online Inverse Reinforcement Learning with Learned Observation Model CoRL 2022 On Optimizing Interventions in Shared Autonomy AAAI 2022 On-Robot Learning With Equivariant Models CoRL 2022 On the Effectiveness of Iterative Learning Control L4DC 2022 Open-Ended Reinforcement Learning with Neural Reward Functions NeurIPS 2022 Operator Splitting Value Iteration NeurIPS 2022 Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints L4DC 2022 Optimistic Initialization for Exploration in Continuous Control AAAI 2022 Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer ICML 2022 Out-of-Dynamics Imitation Learning from Multimodal Demonstrations CoRL 2022 PaCo: Parameter-Compositional Multi-task Reinforcement Learning NeurIPS 2022