Articles in journals or magazines
W. Chen, O. Mees, A. Kumar, and S. Levine, "Vision-Language Models Provide Promptable Representations for Reinforcement Learning," TMLR , March 2025.
M. Zawalski, W. Chen, K. Pertsch, O. Mees, C. Finn, and S. Levine, "Robotic Control via Embodied Chain-of-Thought Reasoning ," Conference on Robot Learning , Nov. 2024.
X. B. Peng, A. Kanazawa, J. Malik, P. Abbeel, and S. Levine, "SFV: Reinforcement Learning of Physical Skills from Videos," ACM Trans. Graph. , vol. 37, no. 6, Nov. 2018.
X. B. Peng, P. Abbeel, S. Levine, and M. van de Panne, "DeepMimic: Example-guided Deep Reinforcement Learning of Physics-based Character Skills ," ACM Trans. Graph. , vol. 37, no. 4, pp. 143:1--143:14, July 2018.
Articles in conference proceedings
S. Emmons, B. Eysenbach, I. Kostrikov, and S. Levine, "RvS: What is Essential for Offline RL via Supervised Learning? ," in International Conference on Learning Representations , 2022.
X. B. Peng, A. Kanazawa, S. Toyer, P. Abbeel, and S. Levine, "Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse {RL}, and {GAN}s by Constraining Information Flow ," in International Conference on Learning Representations , 2019.
P. Jin, K. Keutzer, and S. Levine, "Regret minimization for partially observable deep reinforcement learning," in International conference on machine learning , 2018, pp. 2342--2351.
Technical Reports
Masters Reports
H. Bai, M. Cemri, J. Pan, A. Suhr, S. Levine, and A. Kumar, "DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2025-43, May 2025.
P. Z. Zhou, P. Atreya, Y. L. Tan, K. Pertsch, and S. Levine, "AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2025-42, May 2025.
J. Luo, P. Dong, S. Zhai, Y. Ma, and S. Levine, "RLIF: Interactive Imitation Learning as Reinforcement Learning ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2024-17, April 2024.
P. Hansen-Estruch, I. Kostrikov, M. Janner, K. Grudzien, and S. Levine, "IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-62, May 2023.
G. Swamy, "Learning with Humans in the Loop ," A. Dragan and S. Levine, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-76, May 2020.
A. Singh, L. Yang, K. Hartikainen, C. Finn, and S. Levine, "End-to-End Robotic Reinforcement Learning without Reward Engineering ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2019-40, May 2019.
G. Kahn, A. Villaflor, B. Ding, P. Abbeel, and S. Levine, "Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2018-47, May 2018.
Y. Liu, A. Gupta, P. Abbeel, and S. Levine, "Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2018-37, May 2018.
W. Han, S. Levine, and P. Abbeel, "Learning Compound Multi-Step Controllers under Unknown Dynamics ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2016-41, May 2016.