Top 7 Python Libraries For Reinforcement Learning

In recent years, the emergence of deep reinforcement learning (RL) has resulted in the growing demand for their evaluation. To implement and test RL models quickly and reliably, several RL libraries have been developed. Pyqlearning is a Python library to implement RL, especially for Q-Learning and multi-agent Deep Q-Network. This library makes it possible to design the information search algorithm such as the Game AI, web crawlers, or robotics. Keras-RL seamlessly implements state-of-the-art deep reinforcement learning algorithms with the deep learning library Keras.