Wrappers and support for RLBench

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.