google-research/batch-ppo
Efficient Batched Reinforcement Learning in TensorFlow
This project offers an optimized framework for training reinforcement learning agents, helping researchers and ML engineers develop and test new algorithms more efficiently. You provide the agent's logic and the environment it interacts with, and the system outputs a trained agent capable of solving complex tasks. It's designed for machine learning researchers and practitioners working on advanced AI.
975 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or engineer developing and testing new reinforcement learning algorithms and need an efficient way to run experiments with batched computation.
Not ideal if you are looking for a pre-trained agent or a simple plug-and-play solution for common reinforcement learning problems without needing to implement custom algorithms.
Stars
975
Forks
148
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 11, 2019
Commits (30d)
0
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