From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation episode artwork

EPISODE · Jun 26, 2026 · 13 MIN

From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

from Embodied AI 101 · host Shaoqing Tan

Uses reinforcement learning to improve process reasoning capabilities in robotic manipulation policies, shifting the model from passive observation to active critique.

Episode metadata supplied by the publisher feed · Published Jun 26, 2026

Embed this episode

NOW PLAYING

From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

0:00 13:19

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Embodied AI 101?

This episode is 13 minutes long.

When was this Embodied AI 101 episode published?

This episode was published on June 26, 2026.

Can I download this Embodied AI 101 episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!