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AgileRL is a Deep Reinforcement Learning library focused on improving development by introducing RLOps – MLOps for reinforcement learning. It is initially focused on reducing the time taken for training models and hyperparameter optimization (HPO) by pioneering evolutionary HPO techniques for reinforcement learning. AgileRL offers 10x faster hyperparameter optimization than SOTA and can remove the need for multiple training runs, saving hours. It can be installed as a package with pip or in development mode.