![]() A preset is mostly a python module which instantiates a graph manager object. The Coach can be used directly from python, where it uses the presets mechanism to define the experiments. Reinforcement Learning Coach (RL_Coach) by Intel AI Lab enables easy experimentation with state-of-the-art reinforcement learning algorithms. Tensorforce is built on top of Google’s TensorFlow framework and is compatible with Python 3 Tensorforce is an open-source deep reinforcement learning framework, which is relatively straightforward in its usage. Evaluating and playing around with different algorithms is easy, as Keras-RL works with OpenAI Gym out of the box. Keras-RL seamlessly implements state-of-the-art deep reinforcement learning algorithms with the deep learning library Keras. This library makes it possible to design the information search algorithm such as the Game AI, web crawlers, or robotics. Pyqlearning is a Python library to implement RL, especially for Q-Learning and multi-agent Deep Q-Network. ![]() ![]() Here we list we such libraries that make the job of an RL researcher easy: To implement and test RL models quickly and reliably, several RL libraries have been developed. In recent years, the emergence of deep reinforcement learning (RL) has resulted in the growing demand for their evaluation.
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