dayyass/rllib
Reinforcement Learning Library.
This is a reinforcement learning library for Python developers building intelligent agents. It takes in a user-defined environment (like a Gym environment) and a neural network model, then trains an agent using various algorithms like Q-Learning to produce an optimized agent capable of making decisions and interacting with the environment. It is used by machine learning engineers or researchers who are developing and testing new AI behaviors.
No commits in the last 6 months.
Use this if you are a Python developer or researcher building reinforcement learning agents and need a flexible library to implement and train them with PyTorch.
Not ideal if you are looking for a no-code solution or a high-level API for existing, pre-trained reinforcement learning models.
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Language
Python
License
MIT
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Last pushed
Aug 16, 2022
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