RLinf v0.3 closes the robot training loop
RLinf v0.3 turns embodied AI training into a fuller pipeline, linking data collection, SFT, reinforcement learning, evaluation and real-robot deployment.
3 verified stories covering Reinforcement learning, product updates and industry developments.
RLinf v0.3 turns embodied AI training into a fuller pipeline, linking data collection, SFT, reinforcement learning, evaluation and real-robot deployment.
Oak Lab sets a 20-watt goal for continuously learning agents. The piece reviews the verified facts and why the signal matters beyond one announcement.
The reinforcement learning pioneer argues that next-token models lack causality, experimentation and self-generated experience.