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公开(公告)号：US20230249083A1
公开(公告)日：2023-08-10
申请号：US17650287
申请日：2022-02-08
发明人： Peter Wurman , Leon Barrett , Piyush Khandelwal , Dion Whitehead , Rory Douglas , Houmehr Aghabozorgi , Justin V Beltran , Rabih Abdul Ahad , Bandaly Azzam
IPC分类号： A63F13/67 , A63F13/352
CPC分类号： A63F13/67 , A63F13/352 , A63F2300/531 , A63F2300/6027
摘要： An artificial intelligent agent can act as a player in a video game, such as a racing video game. The game can be completely external to the agent and can run in real time. In this way, the training system is much more like a real world system. The consoles on which the game runs for training the agent are provided in a cloud computing environment. The agents and the trainers can run on other computing devices in the cloud, where the system can choose the trainers and agent compute based on proximity to console, for example. Users can choose the game they want to run and submit code which can be built and deployed to the cloud system. A resource management service can monitor game console resources between human users and research usage and identify experiments for suspension to ensure enough game consoles for human users.
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公开(公告)号：US20230249082A1
公开(公告)日：2023-08-10
申请号：US17650275
申请日：2022-02-08
发明人： Peter Wurman , Leon Barrett , Piyush Khandelwal , Dion Whitehead , Rory Douglas , Houmehr Aghabozorgi , Justin V Beltran , Rabih Abdul Ahad , Bandaly Azzam
IPC分类号： A63F13/67 , A63F13/352 , G06F8/71
CPC分类号： A63F13/67 , A63F13/352 , G06F8/71
摘要： An artificial intelligent agent can act as a player in a video game, such as a racing video game. The agent can race against, and often beat, the best players in the world. The game can be completely external to the agent and can run in real time. In this way, the training system is much more like a real world system. The consoles on which the game runs for training the agent are provided in a cloud computing environment. The agents and the trainers can run on other computing devices in the cloud, where the system can choose the trainers and agent compute based on proximity to console, for example. Users can choose the game they want to run and submit code which can be built and deployed to the cloud system. Metrics and logs and artifacts from the game can be sent to cloud storage.
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公开(公告)号：US11745109B2
公开(公告)日：2023-09-05
申请号：US17650287
申请日：2022-02-08
发明人： Peter Wurman , Leon Barrett , Piyush Khandelwal , Dion Whitehead , Rory Douglas , Houmehr Aghabozorgi , Justin V Beltran , Rabih Abdul Ahad , Bandaly Azzam
IPC分类号： A63F13/67 , A63F13/352
CPC分类号： A63F13/67 , A63F13/352 , A63F2300/531 , A63F2300/6027
摘要： An artificial intelligent agent can act as a player in a video game, such as a racing video game. The game can be completely external to the agent and can run in real time. In this way, the training system is much more like a real world system. The consoles on which the game runs for training the agent are provided in a cloud computing environment. The agents and the trainers can run on other computing devices in the cloud, where the system can choose the trainers and agent compute based on proximity to console, for example. Users can choose the game they want to run and submit code which can be built and deployed to the cloud system. A resource management service can monitor game console resources between human users and research usage and identify experiments for suspension to ensure enough game consoles for human users.
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公开(公告)号：US12017148B2
公开(公告)日：2024-06-25
申请号：US17804716
申请日：2022-05-31
发明人： Rory Douglas , Dion Whitehead , Leon Barrett , Piyush Khandelwal , Thomas Walsh , Samuel Barrett , Kaushik Subramanian , James MacGlashan , Leilani Gilpin , Peter Wurman
IPC分类号： A63F13/67 , A63F13/573 , A63F13/803
CPC分类号： A63F13/67 , A63F13/573 , A63F13/803
摘要： A user interface (UI), for analyzing model training runs, tracking and visualizing various aspects of machine learning experiments, can be used when training an artificial intelligent agent in, for example, a racing game environment. The UI can be web-based and can allow researchers to easily see the status of their experiments. The UI can include an experiment synchronized event viewer that can synchronizes visualizations, videos, and timeline/metrics graphs in the experiment. This viewer allows researchers to see how experiments unfold in great detail. The UI can further include experiment event annotations that can generate event annotations. These annotations can be displayed via the synchronized event viewer. The UI can be used to consider consolidated results across experiments and can further consider videos. For example, the UI can provide a reusable dashboard that can capture and compare metrics across multiple experiments.
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公开(公告)号：US20230381660A1
公开(公告)日：2023-11-30
申请号：US17804716
申请日：2022-05-31
发明人： Rory Douglas , Dion Whitehead , Leon Barrett , Piyush Khandelwal , Thomas Walsh , Samuel Barrett , Kaushik Subramanian , James MacGlashan , Leilani Gilpin , Peter Wurman
IPC分类号： A63F13/67 , A63F13/573 , A63F13/803
CPC分类号： A63F13/67 , A63F13/573 , A63F13/803
摘要： A user interface (UI), for analyzing model training runs, tracking and visualizing various aspects of machine learning experiments, can be used when training an artificial intelligent agent in, for example, a racing game environment. The UI can be web-based and can allow researchers to easily see the status of their experiments. The UI can include an experiment synchronized event viewer that can synchronizes visualizations, videos, and timeline/metrics graphs in the experiment. This viewer allows researchers to see how experiments unfold in great detail. The UI can further include experiment event annotations that can generate event annotations. These annotations can be displayed via the synchronized event viewer. The UI can be used to consider consolidated results across experiments and can further consider videos. For example, the UI can provide a reusable dashboard that can capture and compare metrics across multiple experiments.
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