arxiv
PublishedJune 2, 2026 at 4:00 AM
Coherent Off-Policy Improvement of Large Behavior Models with Learned Rewards
Publisher summary· verbatim
arXiv:2606.02194v1 Announce Type: new Abstract: Distilling expert demonstration data into large generative models using behavioral cloning is a scalable approach to learning capable policies for robotic control, particularly for dexterous manipulation. Reinforcement learning (RL) can be used as a me
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivEDEN: A Large-Scale Corpus of Clinical Notes for Italian1darxivASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection1darxivLoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling1darxivAPPO: Agentic Procedural Policy Optimization1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗