keras-rl
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
What is keras-rl?
Keras-RL is a Python library that implements state-of-the-art deep reinforcement learning algorithms with seamless integration into the Keras deep learning framework. It solves the problem of making advanced reinforcement learning techniques accessible and easy to experiment with by providing ready-to-use implementations that work with familiar Keras workflows and OpenAI Gym environments.
Machine learning researchers, data scientists, and developers working on reinforcement learning projects who want to leverage Keras for neural network definition and need production-ready implementations of modern RL algorithms.
Developers choose Keras-RL because it combines the simplicity and familiarity of Keras with comprehensive implementations of cutting-edge reinforcement learning algorithms, reducing the time and complexity required to build and experiment with RL systems compared to building from scratch.
Overview
Deep Reinforcement Learning for Keras.
Use Cases
Best For
- Implementing deep Q-learning networks for discrete action spaces
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