Shypd.aiThe largest open index of AI toolsPtan is an open-source PyTorch-based reinforcement learning toolkit that reimplements the AgentNet library for PyTorch. It provides tools for developing AI agents and is used in the "Deep Reinforcement Learning Hands-On" book.
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Ptan, or PyTorch Agent Net, is an open-source reinforcement learning toolkit designed for PyTorch. It serves as a reimplementation of the AgentNet library, providing a robust framework for developing and experimenting with AI agents. The library was notably used in the "Deep Reinforcement Learning Hands-On" book, with sample sources available for reference. Ptan supports various PyTorch versions through different code branches, ensuring compatibility and up-to-date dependencies. It includes features like experience sources and integrates with essential libraries such as PyTorch Ignite, OpenAI Gym, Python OpenCV, and TensorBoardX, making it a comprehensive solution for researchers and developers in the reinforcement learning domain.
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