mahgoobi/mcts-value-data

MCTS value data Dense value supervision for a robot manipulation critic, generated by running Monte-Carlo tree search offline as a supervision generator rather than online as a planner. A policy that is only ever scored at the end of an episode gives one number per episode. Running MCTS from a recorded scene and backing terminal outcomes up the tree turns that one number into a value for every state the search visited — 85,747 of them here, from 250 searches over 13 tasks.… See the full description on the dataset page: https://huggingface.co/datasets/mahgoobi/mcts-value-data.