SL
Sergey Levine
cs.LGcs.ROcs.AIstat.MLcs.CVcs.CLcs.NEcs.SYeess.SYcs.HC
On Valency
published · living versionsW_84nmup8r·v1 · currentpublished
W_87fa8gnp·v1published
W_9kmp5csx·v1published
Preprints & journals
581 papers in the corpus · 2012–2026The Geometry of Empowerment2610.07796v2 · Catherine Ji, Vivek Myers, Sergey Levine et al.2026 · 0 citationsarXiv
Behavioral Cloning Mystery2610.07056v1 · Seohong Park, Sergey Levine2026 · 0 citationsarXiv
Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching2609.07303v1 · Preston Fu, Kevin Frans, Oleh Rybkin et al.2026 · 0 citationsarXiv
Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency2608.23831v2 · Brian Zhu, Momen Khalil, E Harrison et al.2026 · 0 citationsarXiv
One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL2608.12253v2 · Simon Yu, Nicholas Tomlin, Marwa Abdulhai et al.2026 · 0 citationsarXiv
Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control?2608.02547v1 · Filippo Lazzati, Kyle Stachowicz, William Chen et al.2026 · 0 citationsarXiv
Adapting Generalist Robot Policies with Semantic Reinforcement Learning2606.31958v1 · Jagdeep Singh Bhatia, Andrew Wagenmaker, William Chen et al.2026 · 0 citationsarXiv
Learning Process Rewards via Success Visitation Matching for Efficient RL2606.23640v1 · Raymond Tsao, Andrew Wagenmaker, Sergey Levine2026 · 0 citationsarXiv
VIMPO: Value-Implicit Policy Optimization for LLMs2606.20008v1 · Zhewei Kang, Aosong Feng, Sergey Levine et al.2026 · 0 citationsarXiv
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation2606.18610v3 · Wei-Cheng Tseng, Gashon Hussein, Yuzhu Dong et al.2026 · 0 citationsarXiv
Reversal Q-Learning2606.17551v1 · Aditya Oberai, Seohong Park, Sergey Levine2026 · 0 citationsarXiv
Improving Robotic Generalist Policies via Flow Reversal Steering2606.13675v2 · Andy Tang, William Chen, Andrew Wagenmaker et al.2026 · 0 citationsarXiv
Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors2605.07847v1 · Shuhaib Mehri, Philippe Laban, Sumuk Shashidhar et al.2026 · 0 citationsarXiv
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies2605.03065v4 · Sarvesh Patil, Mitsuhiko Nakamoto, Manan Agarwal et al.2026 · 0 citationsarXiv
RL Token: Bootstrapping Online RL with Vision-Language-Action Models2604.23073v2 · Charles Xu, Jost Tobias Springenberg, Michael Equi et al.2026 · 0 citationsarXiv
: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities2604.15483v2 · Physical Intelligence, Bo Ai, Ali Amin et al.2026 · 0 citationsarXiv
MEM: Multi-Scale Embodied Memory for Vision Language Action Models2603.03596v2 · Marcel Torne, Karl Pertsch, Homer Walke et al.2026 · 0 citationsarXiv
Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control2602.13193v3 · William Chen, Jagdeep Singh Bhatia, Catherine Glossop et al.2026 · 1 citationarXiv
AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge2602.13476v1 · Noriaki Hirose, Catherine Glossop, Dhruv Shah et al.2026 · 0 citationsarXiv
SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios2602.08440v2 · Tian Gao, Celine Tan, Catherine Glossop et al.2026 · 0 citationsarXiv
Q-learning with Adjoint Matching2601.14234v4 · Qiyang Li, Sergey Levine2026 · 0 citationsarXiv
RoboReward: General-Purpose Vision-Language Reward Models for Robotics2601.00675v2 · Tony Lee, Andrew Wagenmaker, Karl Pertsch et al.2026 · 0 citationsarXiv
Emergence of Human to Robot Transfer in Vision-Language-Action Models2512.22414v1 · Simar Kareer, Karl Pertsch, James Darpinian et al.2025 · 2 citationsarXiv
PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies2512.16881v2 · Arhan Jain, Mingtong Zhang, Kanav Arora et al.2025 · 2 citationsarXiv
Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning2512.16911v1 · Andrew Wagenmaker, Perry Dong, Raymond Tsao et al.2025 · 0 citationsarXiv
Decoupled Q-Chunking2512.10926v2 · Qiyang Li, Seohong Park, Sergey Levine2025 · 0 citationsarXiv
Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging2512.08333v3 · Yajat Yadav, Zhiyuan Zhou, Andrew Wagenmaker et al.2025 · 1 citationThe Fourteenth International Conference on Learning Representations 2026
Scalable Offline Model-Based RL with Action Chunks2512.08108v1 · Kwanyoung Park, Seohong Park, Youngwoon Lee et al.2025 · 0 citationsarXiv
Training-Time Action Conditioning for Efficient Real-Time Chunking2512.05964v2 · Kevin Black, Allen Z. Ren, Michael Equi et al.2025 · 0 citationsarXiv
Zero-Overhead Introspection for Adaptive Test-Time Compute2512.01457v4 · Rohin Manvi, Joey Hong, Tim Seyde et al.2025 · 0 citationsarXiv
: a VLA That Learns From Experience2511.14759v2 · Physical Intelligence, Ali Amin, Raichelle Aniceto et al.2025 · 0 citationsarXiv
Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning2511.07730v3 · Bill Chunyuan Zheng, Vivek Myers, Benjamin Eysenbach et al.2025 · 0 citationsICLR (2026)
Leveraging Discrete Function Decomposability for Scientific Design2511.03032v3 · James C. Bowden, Sergey Levine, Jennifer Listgarten2025 · 0 citationsarXiv
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks2511.01758v1 · Mian Wu, Gavin Zhang, Sewon Min et al.2025 · 0 citationsarXiv
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2511.00222v1 · Marwa Abdulhai, Ryan Cheng, Donovan Clay et al.2025 · 2 citationsarXiv
What Really Matters in Matrix-Whitening Optimizers?2510.25000v1 · Kevin Frans, Pieter Abbeel, Sergey Levine2025 · 0 citationsarXiv
Transitive RL: Value Learning via Divide and Conquer2510.22512v2 · Seohong Park, Aditya Oberai, Pranav Atreya et al.2025 · 0 citationsarXiv
Learning Affordances at Inference-Time for Vision-Language-Action Models2510.19752v1 · Ameesh Shah, William Chen, Adwait Godbole et al.2025 · 0 citationsarXiv
Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL2510.14318v1 · Marwa Abdulhai, Ryan Cheng, Aryansh Shrivastava et al.2025 · 0 citationsarXiv
Training LLM Agents to Empower Humans2510.13709v2 · Evan Ellis, Vivek Myers, Jens Tuyls et al.2025 · 0 citationsarXiv
Dual Goal Representations2510.06714v2 · Seohong Park, Deepinder Mann, Sergey Levine2025 · 0 citationsarXiv
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations2509.20478v2 · Vivek Myers, Bill Chunyuan Zheng, Benjamin Eysenbach et al.2025 · 2 citationsarXiv
OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation2509.19480v1 · Noriaki Hirose, Catherine Glossop, Dhruv Shah et al.2025 · 0 citationsarXiv
Compute-Optimal Scaling for Value-Based Deep RL2508.14881v2 · Preston Fu, Oleh Rybkin, Zhiyuan Zhou et al.2025 · 1 citationarXiv
Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning.40834062 · Luo, Jianlan, Xu, Charles, Wu, Jeffrey et al.2025 · 75 citationsScience robotics. 2025;10(105):eads5033
CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models2508.13446v2 · Catherine Glossop, William Chen, Arjun Bhorkar et al.2025 · 0 citationsarXiv
Behavioral Exploration: Learning to Explore via In-Context Adaptation2507.09041v1 · Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine2025 · 0 citationsarXiv
Reinforcement Learning with Action Chunking2507.07969v4 · Qiyang Li, Zhiyuan Zhou, Sergey Levine2025 · 1 citationarXiv
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies2506.18123v2 · Pranav Atreya, Karl Pertsch, Tony Lee et al.2025 · 0 citationsarXiv
Steering Your Diffusion Policy with Latent Space Reinforcement Learning2506.15799v2 · Andrew Wagenmaker, Mitsuhiko Nakamoto, Yunchu Zhang et al.2025 · 0 citationsarXiv
Career total: 724 works. 581 are in this corpus.Showing the 50 most recent.
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