wintermelontree/robomimic-pretrain-data
From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning (DICE-RL) This repository contains the datasets used in the paper From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning. Project Website | GitHub Repository Dataset Description Distribution Contractive Reinforcement Learning (DICE-RL) is a framework that uses reinforcement learning (RL) to refine pretrained generative robot policies. This… See the full description on the dataset page: https://huggingface.co/datasets/wintermelontree/robomimic-pretrain-data.
| Author / organization | wintermelontree |
|---|---|
| Downloads | 387 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 15 March 2026 |
| Last updated at source | 20 March 2026 |
Popularity, last 3 days
387 now (+53 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Recent changes
- 17 Oct 2026 Description: From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning (DICE-RL) This repository contains the datasets used in the paper From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning. P → From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning (DICE-RL) This repository contains the datasets used in the paper From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning. P
Changes detected by Silytics between refreshes of the source.
Related papers
More from wintermelontree
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.