Computing robust policies in offline reinforcement learning
AssigneeInternational Business Machines Corporation
InventorsRadu Marinescu, Parikshit Ram, Djallel BOUNEFFOUF, Tejaswini Pedapati, Paulito Palmes
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Abstract
According to one embodiment, a method, computer system, and computer program product for reinforcement learning is provided. The present invention may include training, using an offline dataset, a plurality of diverse reward models, and creating a policy based on an output of the reward models and a robustness operator of the reward models.
Claims20
A processor-implemented method for reinforcement learning, the method comprising:
- training, using an offline dataset, a plurality of diverse reward models;
- and
- creating a policy based on an output of the reward models and a robustness operator of the reward models.
A computer system for reinforcement learning, the computer system comprising:
- one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
- training, using an offline dataset, a plurality of diverse reward models;
- and
- creating a policy based on an output of the reward models and a robustness operator of the reward models.
A computer program product for reinforcement learning, the computer program product comprising:
- one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor to cause the processor to perform a method comprising:
- training, using an offline dataset, a plurality of diverse reward models;
- and
- creating a policy based on an output of the reward models and a robustness operator of the reward models.
Dependencies are inferred from the claim text.