cooperative-marl-labs
PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 4 Sep 2026. How this is checked
cooperative-marl-labs is an open-source Python package containing lightweight environments and utilities for cooperative multi-agent reinforcement learning. It is intended for researchers and developers working with PettingZoo, Gymnasium, and related learning experiments.
Inferred · not functionally tested
Overview
5 featuresPurpose: Building and experimenting with cooperative multi-agent reinforcement learning environments and utilities.
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.
In the Frameworks & runtimes space, cooperative-marl-labs takes a focused approach. Inferred · not functionally tested: It focuses on building and experimenting with cooperative multi-agent reinforcement learning environments and utilities. Inferred · not functionally tested: It is built as an open-source project for reinforcement learning researchers and developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: cooperative-marl-labs is available on the command line, and it can be self-hosted.
It is developed by Rex Similoluwah, and it first shipped in 2026. Development happens publicly on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are Cooperative Environments, Multi-agent Learning, and Reinforcement Learning Utilities.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Cooperative Environments
- Multi-agent Learning
- Reinforcement Learning Utilities
- PettingZoo Support
- Gymnasium Support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed4 Sep · 16:14 UTCcooperative-marl-labs seen via PyPI Fresh FeedSource: PyPI Fresh Feed · Open
Frequently asked questions about cooperative-marl-labs
- What does cooperative-marl-labs do?
- Inferred · not functionally tested: Cooperative-marl-labs focuses on building and experimenting with cooperative multi-agent reinforcement learning environments and utilities. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is cooperative-marl-labs for?
- Inferred · not functionally tested: cooperative-marl-labs is an open-source project built for reinforcement learning researchers and developers.
- Is cooperative-marl-labs free?
- Basis unknown · not verified: Yes — cooperative-marl-labs is open source under the MIT license and free to use.
- What platforms does cooperative-marl-labs run on?
- Basis unknown · not verified: cooperative-marl-labs runs on the command line. It can also be self-hosted.
- Is cooperative-marl-labs still active?
- PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 4 commits in the last 90 days.
- What are alternatives to cooperative-marl-labs?
- Similar projects tracked by PulseGate include marlbench, MARLA, and MARL-BattleGrounds.marlbenchMARLAMARL-BattleGrounds
- Who develops cooperative-marl-labs?
- cooperative-marl-labs is developed by Rex Similoluwah.
- How long has cooperative-marl-labs been around?
- cooperative-marl-labs first shipped in 2026.
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