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公开(公告)号:US12118441B2
公开(公告)日:2024-10-15
申请号:US17548672
申请日:2021-12-13
发明人: Radu Marinescu
摘要: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to outputting an optimal decision policy base on informal knowledge input. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an analysis component that analyzes an input dataset comprising a constraint in a natural language form, and an augmentation component that generates an influence mapping comprising a constraint variable based on the constraint input. In an embodiment, an input dataset employed to support the influence mapping can comprise time-stamped tuple data comprising a state, an action and a reward. In an embodiment, an inference engine can generate an output policy in response to the constraint input and which output policy can be based on the constraint input and constraint variable.
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公开(公告)号:US12013776B2
公开(公告)日:2024-06-18
申请号:US16839915
申请日:2020-04-03
发明人: Adi I. Botea , Larisa Shwartz , Akihiro Kishimoto , Radu Marinescu , Yufang Hou , Hiroshi Kajino , Mattia Chiari , Marco Luca Sbodio
CPC分类号: G06F11/3688 , G06F11/3684 , G06N20/00
摘要: Embodiments for intelligent application scenario testing and error detection by a processor. One or more modified application scenarios may be automatically generated from an initial application scenario having configuration data and a plurality of operations relating to an error. The one or more modified application scenarios are variations of the initial application. The one or more modified application scenarios may be executed to detect the existence or non-existence of the error in the one or more modified application scenarios.
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公开(公告)号:US20230409957A1
公开(公告)日:2023-12-21
申请号:US17807397
申请日:2022-06-17
IPC分类号: G06N20/00
CPC分类号: G06N20/00
摘要: According to one embodiment, a method, computer system, and computer program product for reinforcement learning is provided. The present invention may include training, using an offline dataset, a plurality of diverse reward models, and creating a policy based on an output of the reward models and a robustness operator of the reward models.
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公开(公告)号:US20230098282A1
公开(公告)日:2023-03-30
申请号:US17489781
申请日:2021-09-30
发明人: Radu Marinescu , Parikshit Ram
IPC分类号: G06N20/00
摘要: A plurality of objectives is received for a given dataset for an automated machine learning (autoML) process. A set of tradeoffs for the plurality of objectives are received that distribute weights to respective objectives. Pipelines are provided for the dataset that optimize each of the plurality of objectives according to the set of tradeoffs.
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公开(公告)号:US20220157473A1
公开(公告)日:2022-05-19
申请号:US16952219
申请日:2020-11-19
发明人: Radu Marinescu , Akihiro Kishimoto
IPC分类号: G16H50/80 , G06F16/901 , G06F17/18
摘要: In an approach to predictive contact tracing, a computer receives a query associated with contact tracing of a person with an infection. A computer retrieves timestamped location data associated with the person over a period of time. Based on the retrieved data, a computer creates a contact graph associated with the person, where the contact graph depicts one or more other people that were in contact with the person over the period of time. A computer retrieves medical data associated with the person and the one or more other people that were in contact with the person over the period of time. Based on the retrieved data, a computer builds a probabilistic model. A computer runs the probabilistic model to provide a prediction of a probability of infection of the one or more other people over the period of time as a result of being in contact with the person.
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公开(公告)号:US20200042598A1
公开(公告)日:2020-02-06
申请号:US16597378
申请日:2019-10-09
发明人: Alice-Maria Marascu , Charles A. Jochim , Carlos A. Alzate Perez , Radu Marinescu , John E. Wittern
摘要: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.
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公开(公告)号:US20190228098A1
公开(公告)日:2019-07-25
申请号:US15875051
申请日:2018-01-19
发明人: Elizabeth Daly , Charles Arthur Jochim , Akihiro Kishimoto , Vanessa Lopez Garcia , Radu Marinescu
摘要: Systems, computer-implemented methods and/or computer program products that facilitate answering questions that involve mathematical computations are provided. In one embodiment, a computer-implemented method comprises: transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation and extrinsic knowledge into a second logical representation relevant to the natural language query; merging, by the system, the first logical representation and the second logical representation into a third logical representation; and generating, by the system, answers for the natural language query based on processing of the third logical representation.
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公开(公告)号:US20170330134A1
公开(公告)日:2017-11-16
申请号:US15155763
申请日:2016-05-16
发明人: Adi Botea , Radu Marinescu
CPC分类号: G06Q10/083 , G05D1/0217 , G05D1/0278 , G05D1/0297 , G05D2201/0213 , G06Q10/06314 , G06Q10/30 , Y02W90/20
摘要: Automatically collecting bin content by receiving input data comprising geographic information, a set of constraints, a first set of status parameters corresponding to each of a plurality of service vehicles, and a second set of status parameters corresponding to each of a plurality of autonomous mobile bins. The input data is used to compute a first set of schedules for each of the plurality of service vehicles and a second set of schedules for each of the plurality of autonomous mobile bins. The first set of schedules and the second set of schedules together specify at least one meeting point at a meeting time between a service vehicle of the plurality of service vehicles and at least one bin of the plurality of autonomous mobile bins.
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公开(公告)号:US11651262B2
公开(公告)日:2023-05-16
申请号:US17028129
申请日:2020-09-22
发明人: Radu Marinescu , Akihiro Kishimoto
摘要: A historical log of a plurality of a type of Internet-connected appliances is collected. a dynamic probabilistic graphical model of the time-lined interactions between subsystems and components of the appliances is generated. The probabilistic graphical model is trained by applying machine learning techniques and applying expert knowledge. A natural language processing (NLP) conversational user interface for diagnostic queries regarding operational errors is provided, and responsive to receive a diagnostic query in a conversational format from a user regarding a particular type, make, and model of an appliance of the plurality of the type of Internet-connected appliances, a diagnostic response is provided to the user interface using the natural language processing conversational format.
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公开(公告)号:US11645476B2
公开(公告)日:2023-05-09
申请号:US17035777
申请日:2020-09-29
发明人: Mattia Chiari , Yufang Hou , Hiroshi Kajino , Akihiro Kishimoto , Radu Marinescu
摘要: A computer generates a formal planning domain description. The computer receives a first text-based description of a domain in an AI environment. The domain includes an action and an associated attribute, and the description is written in natural language. The computer receives the first text-based description of the domain and extracts a first set of domain actions and associated action attributes. The computer receives audio-visual elements depicting the domain, generates a second text-based description, and extracts a second set of domain actions and associated action attributes. The computer constructs finite state machines corresponding to the extracted actions and attributes. The computer converts the FSMs into a symbolic model, written in a formal planning language, that describes the domain.
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