Shypd.aiThe largest open index of AI toolsPARL is an open-source AI Frameworks & Infra tool that provides a high-performance distributed training framework for Reinforcement Learning. It enables reproducible, large-scale, and extensible development of RL algorithms.
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PARL is a high-performance and flexible reinforcement learning framework designed to facilitate the development and training of RL algorithms. It supports reproducible results for influential algorithms, large-scale parallelization across thousands of CPUs and multi-GPUs, and allows for easy adaptation of existing algorithms to new tasks. The framework is extensible, enabling users to build new algorithms by inheriting abstract classes. PARL introduces key abstractions like Model, Algorithm, and Agent to construct agents for complex tasks. It also offers a compact API for distributed training, allowing users to parallelize code with a simple decorator, making it suitable for leveraging outer computation resources efficiently.
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