Aug 22, 2026 · Artificial Intelligence

RL‑100 Merges Imitation and Reinforcement Learning for High‑Performance Robot Manipulation

The RL‑100 framework combines imitation learning from human tele‑operation with offline and online reinforcement learning to refine diffusion‑based control policies, achieving 100 % success across eight real‑world robot tasks, matching or surpassing human operators in speed while maintaining stability and low latency.

RL-100Roboticsdiffusion models

0 likes · 7 min read

RL‑100 Merges Imitation and Reinforcement Learning for High‑Performance Robot Manipulation

real-world manipulation

RL‑100 Merges Imitation and Reinforcement Learning for High‑Performance Robot Manipulation