ItoMasaki/PixyzRL
A Bayesian RL Framework with Probabilistic Generative Models
This framework helps developers build AI agents that learn to make decisions in complex environments, like controlling robots or playing games, with a focus on understanding uncertainty. You feed in observations from an environment, and it helps the agent learn the best actions to take. This is for machine learning engineers or researchers building advanced reinforcement learning systems.
Available on PyPI.
Use this if you are a machine learning engineer or researcher who needs to develop AI agents capable of robust decision-making, particularly when uncertainty about the environment or outcomes is a significant factor.
Not ideal if you need a simple, out-of-the-box solution for basic reinforcement learning tasks without needing to customize or understand probabilistic models deeply.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
11
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