SAILOR is an inverse RL algorithm that learns world and reward models to search at test-time and recover from mistakes.
-
Updated
Nov 2, 2025 - Python
#
learning-to-search
Here are 4 public repositories matching this topic...
Active Imitation Learing with Noisy Guidance
natural-language-processing reinforcement-learning imitation-learning structure-prediction learning-to-search
-
Updated
May 29, 2020 - Python
Integrating π₀-Droid into SAILOR for robust robotic imitation learning, combining pretrained vision-language-action priors with recovery-based search on RoboMimic.
reinforcement-learning robotics pytorch imitation-learning vla robot-learning inverse-reinforcement-learning mujoco learning-to-search jax foundation-models vision-language-action vision-language-action-model robomimic
-
Updated
Apr 21, 2026 - Python
Improve this page
Add a description, image, and links to the learning-to-search topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the learning-to-search topic, visit your repo's landing page and select "manage topics."