Conditionally Combining Robot Skills using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
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Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Efficient Multi-Task Learning via Iterated Single-Task Transfer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
A Simple Approach to Continual Learning by Transferring Skill Parameters.
CoRR, 2021
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning.
CoRR, 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.
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CoRR, 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.
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Proceedings of the 38th International Conference on Machine Learning, 2021
Scaling simulation-to-real transfer by learning a latent space of robot skills.
Int. J. Robotics Res., 2020
Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation.
CoRR, 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning.
Proceedings of the 4th Conference on Robot Learning, 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.
CoRR, 2018
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation.
CoRR, 2018
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018