Shypd.aiThe largest open index of AI toolsDeep-Reinforcement-Learning-Hands-On is an open-source project providing code samples for a book on deep reinforcement learning. It helps users gain practical experience with various RL methods and their applications.
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Deep-Reinforcement-Learning-Hands-On is an open-source GitHub repository that serves as a companion to the book "Deep Reinforcement Learning Hands-On" published by Packt. It provides comprehensive code samples and examples for various deep reinforcement learning methods, including Cross-entropy, policy gradients, Deep Q-Networks, Actor-Critic, and more. The project is actively maintained by the book's author, Max Lapan, ensuring compatibility with the latest versions of PyTorch and gym. It covers diverse applications such as stock trading, chatbot training, and web navigation, making it an invaluable resource for anyone looking to implement and understand advanced RL concepts.
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