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MARL-BattleGrounds

marl-battlegrounds.comInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked

MARL-BattleGrounds is an Apache-2.0 open-source benchmark for heterogeneous and competitive multi-agent reinforcement learning. It provides JAX-native environments and scenarios for researchers and developers evaluating multi-agent systems.

Inferred · not functionally tested

Open SourceApache-2.0WebCLISelf-hosted

Overview

6 features

Purpose: Benchmarking heterogeneous and competitive multi-agent reinforcement learning systems.

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: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: marl-battlegrounds.com · github.com. These links do not verify the individual claims.

MARL-BattleGrounds sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on benchmarking heterogeneous and competitive multi-agent reinforcement learning systems. Inferred · not functionally tested: MARL-BattleGrounds is an open-source project aimed at reinforcement learning researchers and developers. Basis unknown · not verified: MARL-BattleGrounds is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.

Oceans Systems Lab builds and maintains MARL-BattleGrounds, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are JAX-native environments, multi-agent scenarios, and competitive gameplay.

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

Tasks: Inferred · not functionally tested

  • JAX-native environments
  • Multi-agent scenarios
  • Competitive gameplay
  • Heterogeneous agents
  • Team deathmatch
  • Benchmark evaluation

Topics: Inferred · not functionally tested

Tags
multi-agent-reinforcement-learningjax-benchmarkcompetitive-agentsheterogeneous-agents
AI capabilities
Structured
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
BrowserCLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 03:12 UTC
    marl-battlegrounds seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about MARL-BattleGrounds

What does MARL-BattleGrounds do?
Inferred · not functionally tested: MARL-BattleGrounds focuses on benchmarking heterogeneous and competitive multi-agent reinforcement learning systems. It is catalogued under Frameworks & runtimes on PulseGate.
Who is MARL-BattleGrounds for?
Inferred · not functionally tested: MARL-BattleGrounds is an open-source project built for reinforcement learning researchers and developers.
Is MARL-BattleGrounds free?
Basis unknown · not verified: Yes — MARL-BattleGrounds is open source under the Apache-2.0 license and free to use.
What platforms does MARL-BattleGrounds run on?
Basis unknown · not verified: MARL-BattleGrounds runs on the web and the command line. It can also be self-hosted.
Is MARL-BattleGrounds still maintained?
Unverified. MARL-BattleGrounds has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops MARL-BattleGrounds?
MARL-BattleGrounds is developed by Oceans Systems Lab.
When did MARL-BattleGrounds launch?
MARL-BattleGrounds first shipped in 2026.
Is MARL-BattleGrounds open source?
Basis unknown · not verified: Yes — MARL-BattleGrounds is open source under the Apache-2.0 license, developed on GitHub.

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