habitat-gs-train
habitat-gs-train is a Model training & evaluation skill for AI agents, published by zju3dv in the habitat-gs repository on GitHub. Skillspace rates habitat-gs-train C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Train and evaluate a navigation policy in the habitat-gs simulator. Covers the full generate-episodes → train → evaluate flow for PointNav / ImageNav / ObjectNav (Habitat-Lab + DDPPO reinforcement learning) and for Vision-and-Language Navigation (StreamVLN, Uni-NaVid). Use when the user wants to train, fine-tune, resume, or evaluate a nav policy / agent on GS scenes — NOT for interactively piloting a live sim (use the habitat-gs-control skill for that).
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 249
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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