Max Sobol Mark

According to our database, Max Sobol Mark authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames.

Max Sobol Mark, Jacky Liang, Maria Attarian, Chuyuan Fu, Debidatta Dwibedi, Dhruv Shah, Aviral Kumar

CoRR, February, 2026

2024

Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone.

Max Sobol Mark, Tian Gao, Georgia Gabriela Sampaio, Mohan Kumar Srirama, Archit Sharma, Chelsea Finn, Aviral Kumar

CoRR, 2024

Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.

Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias.

Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn

CoRR, 2023

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.

Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

CoRR, 2023

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.

Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Unsupervised Learning From Video With Deep Neural Embeddings.

Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020