perrin-isir/xpag
a modular reinforcement learning library with JAX agents
This project helps researchers and engineers develop and test intelligent agents in simulated environments. It takes in descriptions of environments (like robotic tasks or games) and agent behaviors, then outputs trained agents capable of performing specific tasks. It is designed for practitioners working on reinforcement learning problems, especially those involving goal-oriented tasks.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or engineer building and training agents for complex, goal-conditioned reinforcement learning scenarios.
Not ideal if you need a plug-and-play solution for off-the-shelf machine learning models or if you are not familiar with reinforcement learning concepts and JAX.
Stars
27
Forks
6
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 03, 2025
Commits (30d)
0
Dependencies
13
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