JuliaPOMDP/POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

57
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Established

This is a framework for developers to create and evaluate decision-making algorithms for systems where the future depends on current actions and observations. You define the system's states, actions, observations, and rewards, and the tool helps you simulate different strategies to find the best course of action. It's for researchers and engineers building autonomous systems, predictive models, or planning tools in Julia.

748 stars.

Use this if you are a developer or researcher building systems that need to make optimal decisions in uncertain environments.

Not ideal if you are looking for a pre-built, ready-to-deploy solution for a specific problem without needing to define the underlying decision process programmatically.

reinforcement-learning-engineering autonomous-system-design decision-making-under-uncertainty stochastic-control AI-planning-development
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

748

Forks

109

Language

Julia

License

Last pushed

Mar 08, 2026

Commits (30d)

0

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