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公开(公告)号：US20200250575A1
公开(公告)日：2020-08-06
申请号：US16288279
申请日：2019-02-28
Applicant: Google LLC
Inventor： Tze Way Eugene Ie , Sanmit Santosh Narvekar , Craig Edgar Boutilier
Abstract: A computing system for simulating allocation of resources to a plurality of entities is disclosed. The computing system can be configured to input an entity profile that describes a preference and/or demand of a simulated entity into a reinforcement learning agent model and receive, as an output of the reinforcement learning agent model, an allocation output that describes a resource allocation for the simulated entity. The computing system can select one or more resources based on the resource allocation described by the allocation output and provide the resource(s) to an entity model that is configured to simulate a simulated response output that describes a response of the simulated entity. The computing system can receive, as an output of the entity model, the simulated response output and update a resource profile that describes the at least one resource and/or the entity profile based on the simulated response output.
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公开(公告)号：US20230117499A1
公开(公告)日：2023-04-20
申请号：US17967595
申请日：2022-10-17
Applicant: Google LLC
Inventor： Tze Way Eugene Ie , Sanmit Santosh Narvekar , Craig Edgar Boutilier
Abstract: A computing system for simulating allocation of resources to a plurality of entities is disclosed. The computing system can be configured to input an entity profile that describes a preference and/or demand of a simulated entity into a reinforcement learning agent model and receive, as an output of the reinforcement learning agent model, an allocation output that describes a resource allocation for the simulated entity. The computing system can select one or more resources based on the resource allocation described by the allocation output and provide the resource(s) to an entity model that is configured to simulate a simulated response output that describes a response of the simulated entity. The computing system can receive, as an output of the entity model, the simulated response output and update a resource profile that describes the at least one resource and/or the entity profile based on the simulated response output.
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公开(公告)号：US11475355B2
公开(公告)日：2022-10-18
申请号：US16288279
申请日：2019-02-28
Applicant: Google LLC
Inventor： Tze Way Eugene Ie , Sanmit Santosh Narvekar , Craig Edgar Boutilier
Abstract: A computing system for simulating allocation of resources to a plurality of entities is disclosed. The computing system can be configured to input an entity profile that describes a preference and/or demand of a simulated entity into a reinforcement learning agent model and receive, as an output of the reinforcement learning agent model, an allocation output that describes a resource allocation for the simulated entity. The computing system can select one or more resources based on the resource allocation described by the allocation output and provide the resource(s) to an entity model that is configured to simulate a simulated response output that describes a response of the simulated entity. The computing system can receive, as an output of the entity model, the simulated response output and update a resource profile that describes the at least one resource and/or the entity profile based on the simulated response output.
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