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Abstract

According to a present invention embodiment, a system for training a reinforcement learning agent comprises one or more memories and at least one processor coupled to the one or more memories. The system trains a machine learning model based on training data to generate a set of hyperparameters for training the reinforcement learning agent. The training data includes encoded information from hyperparameter tuning sessions for a plurality of different reinforcement learning environments and reinforcement learning agents. The machine learning model determines the set of hyperparameters for training the reinforcement learning agent, and the reinforcement learning agent is trained according to the set of hyperparameters. The machine learning model adjusts the set of hyperparameters based on information from testing of the reinforcement learning agent. Embodiments of the present invention further include a method and computer program product for training a reinforcement learning agent in substantially the same manner described above.

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First Claim