urbanmarl
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 28 Aug 2026. How this is checked
urbanmarl is an MIT-licensed Python package for vectorized multi-agent reinforcement learning simulations focused on urban 6G network digital twins. It supports research involving mobile edge computing, UAVs, and urban network environments.
Inferred · not functionally tested
Overview
6 featuresPurpose: Simulating and training multi-agent reinforcement-learning systems for urban 6G network digital twins.
Inferred · not functionally tested
Audience: reinforcement-learning researchers and 6G network 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.
urbanmarl sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: It focuses on simulating and training multi-agent reinforcement-learning systems for urban 6G network digital twins. Inferred · not functionally tested: urbanmarl is an open-source project aimed at reinforcement-learning researchers and 6G network developers. Basis unknown · not verified: urbanmarl is open source under the MIT license. Basis unknown · not verified: urbanmarl is available on the command line, and it can be self-hosted.
It is developed by yemenlinux, and it first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Vectorized Simulation, Multi-Agent Learning, and Urban Simulation.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Vectorized Simulation
- Multi-Agent Learning
- Urban Simulation
- 6G Network Modeling
- Digital Twin Support
- UAV Environments
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about urbanmarl
- What does urbanmarl do?
- Inferred · not functionally tested: Urbanmarl focuses on simulating and training multi-agent reinforcement-learning systems for urban 6G network digital twins. It is catalogued under Other data science & ML on PulseGate.
- Who is urbanmarl for?
- Inferred · not functionally tested: urbanmarl is an open-source project built for reinforcement-learning researchers and 6G network developers.
- Does urbanmarl have a free plan?
- Basis unknown · not verified: Yes — urbanmarl is open source under the MIT license and free to use.
- What platforms does urbanmarl run on?
- Basis unknown · not verified: urbanmarl runs on the command line. It can also be self-hosted.
- Is urbanmarl still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 22 commits in the last 90 days.
- Who makes urbanmarl?
- urbanmarl is developed by yemenlinux.
- How long has urbanmarl been around?
- urbanmarl first shipped in 2026.
- Is urbanmarl open source?
- Basis unknown · not verified: Yes — urbanmarl is open source under the MIT license, developed on GitHub.
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