0 comments (0 comments)0 reactions (0 reactions)0 assignees (0 assignees)Python1,728 stars (1,728 stars)297 forks (297 forks)batch import
envsgood first issue
Description
This issue does not include a description.
Contributor guide
- Tech stack
- python
- Domain
- machine learningai
- Issue type
- feature
- DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
- 4
- Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
- 3-5 days
- Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
- stale
- ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
- unclear
- Prerequisites
- Understanding of reinforcement learningFamiliarity with garage's environment APIKnowledge of RLBench
- Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
- 20
- Research direction
- The issue requests adding support for RLBench, a robotic manipulation benchmark. Since the body is empty, the first step is to review garage's existing environment wrappers (e.g., in garage/envs/) and RLBench's API (https://github.com/stepjam/RLBench). Then propose a design for wrapping RLBench tasks as garage environments. Consider contributing a new benchmark set following the pattern of existing ones like DMC. No linked PRs or comments provide additional guidance.