Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
ShapingConference on Robot Learning (CoRL), 2023 |
Learning Control by Iterative InversionInternational Conference on Machine Learning (ICML), 2022 |
ARLO: A Framework for Automated Reinforcement LearningExpert systems with applications (ESWA), 2022 |
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen
HolesReview of Scientific Instruments (RSI), 2022 |
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller |
Distilling Motion Planner Augmented Policies into Visual Control
Policies for Robot ManipulationConference on Robot Learning (CoRL), 2021 |
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu |