iffiX/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
This library helps machine learning engineers and researchers implement advanced reinforcement learning algorithms. It takes your PyTorch models and an environment, applying a wide range of single-agent, multi-agent, and parallel reinforcement learning techniques. The output is a trained agent capable of making optimal decisions within its environment.
419 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher building and experimenting with reinforcement learning models in PyTorch and need a flexible, clearly implemented framework for various algorithms.
Not ideal if you are looking for a high-level, no-code solution for general AI tasks without delving into reinforcement learning specifics or PyTorch.
Stars
419
Forks
51
Language
Python
License
MIT
Category
Last pushed
Aug 08, 2021
Commits (30d)
0
Dependencies
13
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