Agentic Reinforcement Learning for Robot Skills
Published:
Overview
2026 saw the rise of Agentic RL that uses generalist language models to iteratively evaluate, develop and hence improve robotics stacks. We aim to deploy agentic systems for humanoid robot allowing them to traverse indoor spaces and perform useful tasks autonomously and at the same time improve common performance of commonly performed tasks.
More coming soon.