Feat:Sebulba [1] Gym wrapper - Githubissues

instadeepai / Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Apache License 2.0

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Feat:Sebulba [1] Gym wrapper #976

Closed OmaymaMahjoub closed 3 months ago

OmaymaMahjoub commented 9 months ago

What?

Implement a gym wrapper and add gym rware to make_env file, this first step is needed to support and implement Sebulba architecture on Rware.

Why?

Integrate Sebulba's architecture due to its effectiveness in scenarios involving non-jitted/non-jax environments.

How?

Add a gym wrapper, yaml file for rware, and an additional option in make_env.py

Extra

This PR was built on top of #973, therefore we need to close that one first!
In case the reviewer wants to test this code, the full sebulba implementation is now living in feat/sebulba_ff_ippo

OmaymaMahjoub commented 3 months ago

@Louay-Ben-nessir is working on maintaining this PR in #1080