Shypd.aiThe largest open index of AI toolsasync-rl is an open-source research and education tool that provides a Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning. It uses multiple actor-learner threads to stabilize learning, making it suitable for systems with limited memory.
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async-rl offers a practical implementation of asynchronous 1-step Q learning, as detailed in the paper "Asynchronous Methods for Deep Reinforcement Learning." This open-source project leverages Tensorflow and Keras for deep Q network definition and optimization, while integrating with OpenAI's Gym library for interaction with the Atari Learning Environment. A key feature is its use of multiple actor-learner threads, which helps stabilize the learning process without relying on memory-intensive experience replay, making it efficient for machines with less RAM. The repository also includes a work-in-progress asynchronous advantage actor-critic implementation and provides instructions for training, visualizing with TensorBoard, and evaluating models.
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