thu-ml/tianshou

How to support multi-agent reinforcement learning

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#121 opened on Jul 9, 2020

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 (34 comments) (1 reaction) (1 assignee)Python (7,121 stars) (1,072 forks)batch import
MARLdiscussiongood first issue

Description

  • I have marked all applicable categories:

    • exception-raising bug
    • RL algorithm bug
    • documentation request (i.e. "X is missing from the documentation.")
    • new feature request

  • I have visited the source website, and in particular read the known issues

  • I have searched through the issue tracker and issue categories for duplicates

  • I have mentioned version numbers, operating system and environment, where applicable:

    import tianshou, torch, sys
print(tianshou.__version__, torch.__version__, sys.version, sys.platform)

Contributor guide

Tech stack
pythonpytorch
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.
over 1 week
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 multi agent RLFamiliarity with Tianshou codebasePyTorch proficiency
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
15
Research direction
Review the discussion in issue #121 for design considerations. Explore the Tianshou codebase, particularly the env and policy modules, to understand how single agent components are structured. Consider existing multi agent RL libraries like PettingZoo for environment abstractions. Assess feasibility of integrating multi agent support via wrappers or new policy classes.
How to support multi-agent reinforcement learning · thu-ml/tianshou#121 | Good First Issue