Wrappers and support for bsuite

Description

Contributor guide

Tech stack

python

Domain

machine learning

Issue type

feature

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

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.

needs investigation

Prerequisites

familiarity with garageunderstanding of bsuite

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

10

Research direction

The issue links to bsuite, a benchmark suite for RL. To add support, one should first understand how garage currently handles benchmarks and environments. Look at existing experiment configurations and environment wrappers in the garage codebase. The implementation will likely involve creating wrappers that conform to garage's environment interface and setting up experiment scripts to run bsuite tasks. There are no comments or PRs to guide the work, so the contributor must design the integration independently.