Shypd.aiThe largest open index of AI toolsReAgent is an open-source AI Frameworks & Infra tool that provides an end-to-end platform for applied reinforcement learning. It supports various deep RL algorithms, data preprocessing, and counterfactual policy evaluation.
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ReAgent is an open-source, end-to-end platform developed by Facebook for applied reinforcement learning (RL). Built with Python and PyTorch, it facilitates the development of reasoning systems, including reinforcement learning and contextual bandits. The platform offers workflows for training popular deep RL algorithms, encompassing data preprocessing, feature transformation, distributed training, counterfactual policy evaluation, and optimized model serving. It supports classic off-policy algorithms like DQN, TD3, and SAC, as well as RL for recommender systems and multi-arm bandits. ReAgent is designed for large-scale, distributed recommendation/optimization tasks where offline training and counterfactual policy evaluation are crucial. Note: ReAgent is officially archived and no longer maintained; Meta's Pearl library is recommended for production-ready reinforcement learning.
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