Repository
Open source
RLinf
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks
Models / Research
Code for RISE: Self-Improving Robot Policy with Compositional World Model
Code for RISE: Self-Improving Robot Policy with Compositional World Model
Publisher purpose: [RSS 2026] Code for RISE: Self-Improving Robot Policy with Compositional World Model
Review observation/action interfaces, checkpoints, robot embodiments and adaptation requirements. Repository code licensing does not automatically license weights or training data.
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Repository
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks