Shypd.aiThe largest open index of AI toolssimple_dqn is an open-source deep Q-learning agent that replicates DeepMind's research. It is designed to be simple, fast, and easily extensible for educational purposes.
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simple_dqn is an open-source deep Q-learning agent developed to replicate the results from DeepMind's paper "Human-level control through deep reinforcement learning." While the repository is noted as outdated with better codebases available, it serves as a foundational tool for understanding the basics of deep Q-learning. It is designed for simplicity, speed, and extensibility, utilizing the ALE native Python interface and supporting training and testing with OpenAI Gym. The project also integrates with the Neon deep learning library for fast convolutions and minimizes array conversions for efficient minibatch sampling. It includes scripts for training, testing, visualizing filters, and recording gameplay videos.
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