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marlbench

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 20 Aug 2026. How this is checked

marlbench is an open-source Python package that provides unified interfaces, wrappers, and vectorized environments for multi-agent reinforcement learning. It is intended for researchers and developers building, training, and evaluating multi-agent RL systems.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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1star
5features
2026since

Overview

5 features

Purpose: Building and evaluating multi-agent reinforcement learning environments without inconsistent interfaces or custom wrappers.

Inferred · not functionally tested

Audience: reinforcement learning researchers and developers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

marlbench is a Frameworks & SDKs project. Inferred · not functionally tested: It focuses on building and evaluating multi-agent reinforcement learning environments without inconsistent interfaces or custom wrappers. Inferred · not functionally tested: marlbench is an open-source project aimed at reinforcement learning researchers and developers. Basis unknown · not verified: marlbench is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

AmineAndam04 builds and maintains marlbench, and it first shipped in 2026. Development happens publicly on GitHub with 27 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include unified interfaces, environment wrappers, and vector environments.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Unified interfaces
  • Environment wrappers
  • Vector environments
  • Multi-agent support
  • RL benchmarking

Topics: Inferred · not functionally tested

Tags
multi-agent-reinforcement-learningvector-environmentsrl-environment-wrappersmarl-benchmarks

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed20 Aug · 15:21 UTC
    marlbench seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about marlbench

What is marlbench?
Inferred · not functionally tested: Marlbench focuses on building and evaluating multi-agent reinforcement learning environments without inconsistent interfaces or custom wrappers. It is catalogued under Frameworks & SDKs on PulseGate.
Who is marlbench for?
Inferred · not functionally tested: marlbench is an open-source project built for reinforcement learning researchers and developers.
Does marlbench have a free plan?
Basis unknown · not verified: Yes — marlbench is open source under the MIT license and free to use.
What platforms does marlbench run on?
Basis unknown · not verified: marlbench runs on the command line. It can also be self-hosted.
Is marlbench still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 27 commits in the last 90 days.
Who makes marlbench?
marlbench is developed by AmineAndam04.
When did marlbench launch?
marlbench first shipped in 2026.
Is marlbench open source?
Basis unknown · not verified: Yes — marlbench is open source under the MIT license, developed on GitHub.

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