Shypd.aiThe largest open index of AI toolsSoftlearning is a deep reinforcement learning framework for training maximum entropy policies in continuous domains. It includes the official implementation of the Soft Actor-Critic algorithm and utilizes tf.keras modules and Ray for experiment orchestration.
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Softlearning is a deep reinforcement learning framework designed for training maximum entropy policies in continuous domains. It provides a robust toolbox for researchers and developers, featuring the official implementation of the Soft Actor-Critic algorithm. The framework leverages tf.keras modules for model classes like policies and value functions, ensuring compatibility with a widely used deep learning library. For experiment orchestration, Softlearning integrates with Ray, enabling seamless scaling from local prototyping to large-scale experiments on cloud services like GCP or AWS. Ray Tune and Autoscaler facilitate intelligent parallelization and distributed training, optimizing resource allocation for complex reinforcement learning tasks. The framework supports both Conda and Docker installations, offering flexibility for different development environments.
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