Making a failure scenario using adversarial reinforcement learning background
AssigneeInternational Business Machines Corporation
InventorAkifumi Wachi
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AssigneeInternational Business Machines Corporation
InventorAkifumi Wachi
Estimating the term…
Making failure scenarios using adversarial reinforcement learning is performed by storing, in a first storage, a variety of first experiences of failures of a player agent due to an adversarial agent, and performing a simulation of an environment including the player agent and the adversarial agent. It also includes calculating a similarity of a second experience of a failure of the player agent in the simulation and each of the variety of first experiences in the first storage, and updating the first storage by adding the second experience as a new first experience of the variety of first experiences in response to the similarity being less than a threshold. Additionally, the use of adversarial reinforcement learning can include training the adversarial agent by using at least one of the plurality of first experiences in the first storage to generate an adversarial agent having diverse experiences.
A computer-implemented method comprising:
A computer program product including one or more computer readable storage mediums collectively storing program instructions that are executable by a processor or programmable circuitry to cause the processor or programmable circuitry to perform operations comprising:
An apparatus comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.