Alexander Khazatsky

According to our database1, Alexander Khazatsky authored at least 10 papers between 2019 and 2024.

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Bibliography

2024
To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RLVF: Learning from Verbal Feedback without Overgeneralization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
Proceedings of the International Conference on Machine Learning, 2023

2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

What Can I Do Here? Learning New Skills by Imagining Visual Affordances.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019
Contextual Imagined Goals for Self-Supervised Robotic Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019


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