Sergey Levine

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 867

Top Venues

Publications

Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
Language Guided Skill Discovery. CoRR (2024)
Jakub Grudzien Kuba, Masatoshi Uehara, Pieter Abbeel, Sergey Levine
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. CoRR (2024)
Zhiyuan Zhou, Pranav Atreya, Abraham Lee, Homer Walke, Oier Mees, Sergey Levine
Autonomous Improvement of Instruction Following Skills via Foundation Models. CoRR (2024)
Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Isabel Leal, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR (2024)
Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR (2024)
Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao
Evaluating Real-World Robot Manipulation Policies in Simulation. CoRR (2024)
Seohong Park, Tobias Kreiman, Sergey Levine
Foundation Policies with Hilbert Representations. CoRR (2024)
Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura M. Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath
HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. CoRR (2024)
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
Training Diffusion Models with Reinforcement Learning. ICLR (2024)
Masatoshi Uehara, Yulai Zhao, Tommaso Biancalani, Sergey Levine
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review. CoRR (2024)
Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. CoRR (2024)
Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine
Defining Deception in Decision Making. AAMAS (2024)
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR (2024)
Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn
Yell At Your Robot: Improving On-the-Fly from Language Corrections. CoRR (2024)
Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA (2024)
Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. CoRR (2024)
Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine
Multistage Cable Routing Through Hierarchical Imitation Learning. IEEE Trans. Robotics 40 (2024)
Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura M. Smith, Sergey Levine, Chelsea Finn
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. CoRR (2024)
Katie Kang, Eric Wallace, Claire J. Tomlin, Aviral Kumar, Sergey Levine
Unfamiliar Finetuning Examples Control How Language Models Hallucinate. CoRR (2024)
Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR (2024)
Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. CoRR (2024)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR (2024)
Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. ICLR (2024)
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings. CoRR (2024)
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
Robotic Offline RL from Internet Videos via Value-Function Learning. ICRA (2024)
Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine
Octo: An Open-Source Generalist Robot Policy. CoRR (2024)
Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. CoRR (2024)
Kuba Grudzien Kuba, Masatoshi Uehara, Sergey Levine, Pieter Abbeel
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. AISTATS (2024)
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
Is Value Learning Really the Main Bottleneck in Offline RL? CoRR (2024)
Jonathan Yang, Catherine Glossop, Arjun Bhorkar, Dhruv Shah, Quan Vuong, Chelsea Finn, Dorsa Sadigh, Sergey Levine
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation. CoRR (2024)
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Rich Walke, Chelsea Finn, Aviral Kumar, Sergey Levine
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models. ICLR (2024)
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR (2024)
Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. ICLR (2024)
Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik
Learning Visuotactile Skills with Two Multifingered Hands. CoRR (2024)
Kyle Stachowicz, Sergey Levine
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes. CoRR (2024)
Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine
SACSoN: Scalable Autonomous Control for Social Navigation. IEEE Robotics Autom. Lett. 9 (1) (2024)
Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration. ICRA (2024)
Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine
Video Occupancy Models. CoRR (2024)
William Chen, Oier Mees, Aviral Kumar, Sergey Levine
Vision-Language Models Provide Promptable Representations for Reinforcement Learning. CoRR (2024)
Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. CoRR (2024)
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn
OpenVLA: An Open-Source Vision-Language-Action Model. CoRR (2024)
Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
Feedback Efficient Online Fine-Tuning of Diffusion Models. CoRR (2024)
Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. CoRR (2024)
Laura M. Smith, Yunhao Cao, Sergey Levine
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. ICRA (2024)
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
The False Promise of Imitating Proprietary Language Models. ICLR (2024)
Yutaka Shimizu, Joey Hong, Sergey Levine, Masayoshi Tomizuka
Strategically Conservative Q-Learning. CoRR (2024)
Seohong Park, Oleh Rybkin, Sergey Levine
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. ICLR (2024)
Joey Hong, Anca D. Dragan, Sergey Levine
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. ICLR (2024)
Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference. CoRR (2024)
Katie Kang, Amrith Setlur, Claire J. Tomlin, Sergey Levine
Deep Neural Networks Tend To Extrapolate Predictably. ICLR (2024)
Jiayi Pan, Yichi Zhang, Nicholas Tomlin, Yifei Zhou, Sergey Levine, Alane Suhr
Autonomous Evaluation and Refinement of Digital Agents. CoRR (2024)
Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. CoRR (2024)
Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning. CoRR (2024)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR (2024)
Michal Zawalski, William Chen, Karl Pertsch, Oier Mees, Chelsea Finn, Sergey Levine
Robotic Control via Embodied Chain-of-Thought Reasoning. CoRR (2024)
Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning. CoRR (2024)
Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. ICRA (2024)
Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. CoRR (2024)
Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR (2023)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-1: Robotics Transformer for Real-World Control at Scale. Robotics: Science and Systems (2023)
Joey Hong, Anca D. Dragan, Sergey Levine
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. CoRR (2023)
Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR (2023)
Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration. CoRR (2023)
Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR (2023)
Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine
HIQL: Offline Goal-Conditioned RL with Latent States as Actions. CoRR (2023)
Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRL (2023)
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Maximilian Du, Chongyi Zheng, Tony Z. Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine
BridgeData V2: A Dataset for Robot Learning at Scale. CoRR (2023)
Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS (2023)
Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
Adversarial Policies Beat Superhuman Go AIs. ICML (2023)
Amrith Setlur, Don Kurian Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts. ICLR (2023)
Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine
SACSoN: Scalable Autonomous Data Collection for Social Navigation. CoRR (2023)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. CoRR (2023)
Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR (2023)
Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine
ViNT: A Foundation Model for Visual Navigation. CoRL (2023)
Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS (2023)
Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. NeurIPS (2023)
Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine
HIQL: Offline Goal-Conditioned RL with Latent States as Actions. NeurIPS (2023)
Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems (2023)
Joey Hong, Aviral Kumar, Sergey Levine
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. ICLR (2023)
Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. Robotics: Science and Systems (2023)
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
The False Promise of Imitating Proprietary LLMs. CoRR (2023)
Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts. CoRR (2023)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR (2023)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR (2023)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems (2023)
Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. CoRR (2023)
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR (2023)
Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. CoRR (2023)
Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning. ICML (2023)
Yevgen Chebotar, Quan Vuong, Alex Irpan, Karol Hausman, Fei Xia, Yao Lu, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRR (2023)
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. CoRR (2023)
Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias. CoRR (2023)
Seohong Park, Sergey Levine
Predictable MDP Abstraction for Unsupervised Model-Based RL. ICML (2023)
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
PaLM-E: An Embodied Multimodal Language Model. ICML (2023)
Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
Accelerating Exploration with Unlabeled Prior Data. CoRR (2023)
Shagun Sodhani, Sergey Levine, Amy Zhang
Improving Generalization with Approximate Factored Value Functions. Trans. Mach. Learn. Res. 2023 (2023)
Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
Multi-Task Imitation Learning for Linear Dynamical Systems. L4DC (2023)
Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRL (2023)
Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. ICLR (2023)
Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL (2023)

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Sergey Levine