Adversarial Cooperative Imitation Learning for Dynamic Treatment

    公开(公告)号:US20230376773A1

    公开(公告)日:2023-11-23

    申请号:US18362125

    申请日:2023-07-31

    CPC classification number: G06N3/084 G06N5/046 G06N3/045 G06N20/20 G16H50/30

    Abstract: Methods and systems for responding to changing conditions include training a model, using a processor, using trajectories that resulted in a positive outcome and trajectories that resulted in a negative outcome. Training is performed using an adversarial discriminator to train the model to generate trajectories that are similar to historical trajectories that resulted in a positive outcome, and using a cooperative discriminator to train the model to generate trajectories that are dissimilar to historical trajectories that resulted in a negative outcome. A dynamic response regime is generated using the trained model and environment information. A response to changing environment conditions is performed in accordance with the dynamic response regime.

    Adversarial cooperative imitation learning for dynamic treatment

    公开(公告)号:US11783189B2

    公开(公告)日:2023-10-10

    申请号:US16998228

    申请日:2020-08-20

    CPC classification number: G06N3/084 G06N3/045 G06N5/046 G06N20/20 G16H50/30

    Abstract: Methods and systems for responding to changing conditions include training a model, using a processor, using trajectories that resulted in a positive outcome and trajectories that resulted in a negative outcome. Training is performed using an adversarial discriminator to train the model to generate trajectories that are similar to historical trajectories that resulted in a positive outcome, and using a cooperative discriminator to train the model to generate trajectories that are dissimilar to historical trajectories that resulted in a negative outcome. A dynamic response regime is generated using the trained model and environment information. A response to changing environment conditions is performed in accordance with the dynamic response regime.

    LONG DISTANCE DISTRIBUTED FIBER OPTIC SENSING (DFOS) AND WDM COMMUNICATIONS OVER REPEATED FIBER SPANS USING ALL-RAMAN AMPLIFICATION AND CODING SCHEMES

    公开(公告)号:US20230269019A1

    公开(公告)日:2023-08-24

    申请号:US18109247

    申请日:2023-02-13

    CPC classification number: H04J14/0212

    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide DFOS and WDM communications over amplified, multi-span optical WDM optical telecommunications facilities using all Raman amplification and coding schemes. Our all-Raman amplification operates stably—without isolators—and provides sufficient gain to compensate for fiber span loss for both DFOS signals and WDM channel signals—at the same time. Furthermore, our inventive techniques employ signal coding, such as MB-TGD-OFDR for DAS, and we operate our DFOS operation power at a much lower power level as compared to pulse interrogation techniques. With improved OSNR and reduced power using signal coding along with our distributed Raman amplification, our DFOS systems can co-exist with WDM communication channels on the same amplified multi-span fiber optic links over great distances.

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