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    SYSTEM AND METHOD FOR MULTI-OBJECTIVE REINFORCEMENT LEARNING WITH GRADIENT MODULATION
    12.
    发明公开
    SYSTEM AND METHOD FOR MULTI-OBJECTIVE REINFORCEMENT LEARNING WITH GRADIENT MODULATION 审中-公开

    公开(公告)号：US20230351201A1

    公开(公告)日：2023-11-02

    申请号：US18139330

    申请日：2023-04-25

    申请人： ROYAL BANK OF CANADA

    发明人： Hongfeng HUANG ,  Zhuo YU ,  Muhammad Mustajab AZAM ,  Jacob CHMURA

    IPC分类号： G06N3/092

    CPC分类号： G06N3/092

    摘要： Systems are methods are provided for processing multiple input objectives by a reinforcement learning agent. The method may include: instantiating a reinforcement learning agent that maintains a reinforcement learning neural network and generates, according to outputs of the reinforcement learning neural network, signals for communicating task requests; receiving a plurality of input data representing a plurality of user objectives associated with a task request and a plurality of weights; generating a plurality of preferences based on the plurality of user objectives and the plurality of weights; computing a plurality of loss values; computing a plurality of first gradients based on the plurality of loss values; for a plurality of pairs of references, computing a plurality of similarity metrics; computing an updated gradient based on the first gradients and the plurality of similarity metrics; and updating the reinforcement learning neural network based on the updated gradient.

    SECURE PROCESSING OF ELECTRONIC PAYMENTS
    14.
    发明公开
    SECURE PROCESSING OF ELECTRONIC PAYMENTS 审中-公开

    公开(公告)号：US20230289793A1

    公开(公告)日：2023-09-14

    申请号：US18199809

    申请日：2023-05-19

    申请人： ROYAL BANK OF CANADA

    发明人： Edison U. ORTIZ ,  Terry W. LEE ,  Gabriel Y. WOO ,  Stephen James SCOTT ,  Weiqiang YIN ,  Judy DINN ,  Chai LAM

    IPC分类号： G06Q20/40 ,  G06Q20/12 ,  G06Q20/02

    CPC分类号： G06Q20/40 ,  G06Q20/12 ,  G06Q20/023

    摘要： Systems, methods, and machine-executable data structures for the processing of data for the secure creation, administration, manipulation, processing, and storage of electronic data useful in the processing of electronic payment transactions and other secure data processes. Aspects of such systems include trusted platforms by which networked communication devices and merchant systems may be registered as trusted entities. Information associated with particular payment means, such as accounts or payment tokens, can be stored on device(s) secure data sets known as virtual or electronic wallets, or in the form of secure payment tokens. Common application programming interfaces executed by devices may facilitate push and pull processes between electronic wallets and other secure data stores. Users may thereby initiate and complete electronic transactions directly from within applications on trusted devices.

    System and method for behavioral pattern recognition
    17.
    发明授权
    System and method for behavioral pattern recognition 有权

    公开(公告)号：US11741070B2

    公开(公告)日：2023-08-29

    申请号：US17062900

    申请日：2020-10-05

    申请人： ROYAL BANK OF CANADA

    发明人： Kostya Belezko ,  Brechann McGoey

    IPC分类号： G06F7/00 ,  G06F16/22 ,  G06N7/01

    CPC分类号： G06F16/2272 ,  G06F16/2264 ,  G06N7/01

    摘要： Disclosed are systems, methods, and devices for pattern extraction. A graph data structure is generated, reflective of a directed graph having vertices representative of entities and edges representative of relationships between two entities. A subgraph data structure is generated, reflective of a plurality of subgraphs of the directed graph. A similarity matrix data structure is generated by applying a graph kernel to obtain a subgraph similarity matrix including a plurality of entries, each entry providing a score of the similarity between two subgraphs of the plurality of subgraphs. A clustering data structure is generated, reflective of a plurality of groups of the plurality entities upon processing the similarity matrix data structure. For at least a given one of the plurality of groups, a common pattern data structure is generated corresponding to a subgraph that is similar to subgraphs in the given group.

    SYSTEM AND METHOD FOR SECURE WEB SERVICE ACCESS CONTROL
    18.
    发明公开
    SYSTEM AND METHOD FOR SECURE WEB SERVICE ACCESS CONTROL 审中-公开

    公开(公告)号：US20230252463A1

    公开(公告)日：2023-08-10

    申请号：US18133896

    申请日：2023-04-12

    申请人： ROYAL BANK OF CANADA

    发明人： Arnold BADAL-BADALIAN ,  Seung Bong BAEK ,  Ravi KHANDAVILLI

    IPC分类号： G06Q20/38

    CPC分类号： G06Q20/3829

    摘要： A computer system and method for populating electronic payment credentials is provided. The system comprises at least one processor and a memory storing instructions which when executed by the processor configure the processor to perform the method. The method comprises receiving a browser extension activation input, sending a payment details request message to a financial institution system, receiving payment details from the financial institution system following authentication at a mobile device, and populating a payment form on the browser using the payment details. Dynamic credentials are provided by the financial institution system and combined with pre-populated tokenized credentials during automatic entry into the payment form.

    Devices and methods for reinforcement learning visualization using immersive environments
    19.
    发明授权
    Devices and methods for reinforcement learning visualization using immersive environments 有权

    公开(公告)号：US11720792B2

    公开(公告)日：2023-08-08

    申请号：US16944420

    申请日：2020-07-31

    申请人： ROYAL BANK OF CANADA

    发明人： Matthew Edmund Taylor ,  Bilal Kartal ,  Pablo Francisco Hernandez Leal ,  Nathan Douglas ,  Dianna Yim ,  Frank Maurer

    IPC分类号： G06N3/00 ,  G06N3/08 ,  G06N3/006 ,  G06N3/092

    CPC分类号： G06N3/08 ,  G06N3/006 ,  G06N3/092

    摘要： Disclosed are systems, methods, and devices for generating a visualization of a deep reinforcement learning (DRL) process. State data is received, reflective of states of an environment explored by an DRL agent, each state corresponding to a time step. For each given state, saliency metrics are calculated by processing the state data, each metric measuring saliency of a feature at the time step corresponding to the given state. A graphical visualization is generated, having at least two dimensions in which: each feature of the environment is graphically represented along a first axis; and each time step is represented along a second axis; and a plurality of graphical markers representing corresponding saliency metrics, each graphical marker having a size commensurate with the magnitude of the particular saliency metric represented, and a location along the first and second axes corresponding to the feature and time step for the particular saliency metric.