STEER: Flexible Robotic Manipulation via Dense Language Grounding.
CoRR, 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.
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Proceedings of the Conference on Robot Learning, 2023
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.
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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
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
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
The Principle of Unchanged Optimality in Reinforcement Learning Generalization.
CoRR, 2019
Noise Contrastive Priors for Functional Uncertainty.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Off-Policy Evaluation via Off-Policy Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors.
CoRR, 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
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CoRR, 2018
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.
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Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Proceedings of the 35th International Conference on Machine Learning, 2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
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Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Learning Hierarchical Information Flow with Recurrent Neural Modules.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017