Unsupervised Learning From Video With Deep Neural Embeddings. - Chengxu Zhuang; Tianwei She; Alex Andonian; Max Sobol Mark; Daniel Yamins (CVPR, 2020)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Simon Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (NeurIPS, 2023)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Yuexiang Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 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)

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 (ICRA, 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)