Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Practical Imitation Learning in the Real World via Task Consistency Loss.
CoRR, 2022
Multi-Game Decision Transformers.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
Proceedings of the International Conference on Machine Learning, 2022
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.
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CoRR, 2021
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.
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Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Meta-Learning Requires Meta-Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.
Proceedings of the 8th International Conference on Learning Representations, 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.
Proceedings of the 8th International Conference on Learning Representations, 2020
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.
CoRR, 2019
Generative Ensembles for Robust Anomaly Detection.
CoRR, 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
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CoRR, 2018
Time-Contrastive Networks: Self-Supervised Learning from Video.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
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Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Sim2Real View Invariant Visual Servoing by Recurrent Control.
CoRR, 2017
Categorical Reparameterization with Gumbel-Softmax.
Proceedings of the 5th International Conference on Learning Representations, 2017
End-to-End Learning of Semantic Grasping.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017