Accenture Global Solutions Limited

Other

Robert Dooley

Matthew Thomas Short

Mary Elizabeth Hamilton

Sunny Webb

Grace T Cheng

David T Nguyen

Leeann Chau Tuyet Dang

Alex M Kass

Kimberly A Felice

Dylan James Snow

Alpana A Dubey

Manish Mehta

Nikolas Martelaro

Charles Jacob Foster

Sunny M Webb

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reinforcement learning in agent training. Agents may be trained using reinforcement learning. The methods, systems, and apparatus include actions of obtaining scene grammars, obtaining a reference video of a reference agent performing a task, generating environments from the scene grammars, determining that behavior of a sample agent shown in a particular environment of the environments matches behavior of the reference agent, storing an indication that the particular environment trains agents to perform the task, determining to train a new agent to perform the task, identifying the particular environment based on the indication, and training the new agent to perform the task in the particular environments identified.

Scene grammar based reinforcement learning in agent training

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for agent environment co-creation. The methods, systems, and apparatus include actions of determining a success rate of an agent in an environment with a first complexity, determining that the success rate satisfies a complexity change criteria, in response to determining that the success rate satisfies the complexity change criteria, determining a second complexity that has a greater complexity than the first complexity, training the agent in the environment with the second complexity, and providing the agent trained in the environment with the second complexity.

Agent environment co-creation using reinforcement learning

Implementations for receiving, by the design assistant, an initial set of requirements, each requirement in the initial set of requirements being manually provided by a user, providing, by the design assistant and using a knowledge graph, a first set of questions based on the initial set of requirements and content determined from at least one design document in a set of design documents, filtering, by the design assistant, one or more questions from the first set of questions to provide a second set of questions, providing, by the design assistant, at least a portion of the second set of questions as output to the user to elicit one or more responses from the user, and editing, by the design assistant, the initial set of requirements based on the one or more responses to provide a set of requirements, the set of requirements for the to-be-designed product.

Intelligent design platform using digital assistants for design process support

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

Identifying items in images

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a predictive analytics system that provides a mechanism to change the design or implementations of a product manufactured in a supply chain are disclosed. In one aspect, a method includes the actions of receiving training data that includes private information for a node in a supply chain network and information regarding previous decisions related to product change requests for a product manufactured through the supply chain network; training, using the training data, a predictive model configured to render decisions for requests to change a part used in manufacturing the product; receiving a request to change a given part; applying the predictive model to the request to change the given part; determining a decision approving or denying the request; and transmitting the decision to the requesting node.

Adaptive predictive analytics for design modification requests

Implementations are directed to methods, systems, apparatus, and computer programs for generation of a three-dimensional (3D) animation by receiving a user input defining a two-dimensional (2D) representation of a plurality of elements, processing, by the one or more processors, the 2D representation to classify the plurality of elements in symbolic elements and action elements, generating, by the one or more processors, based on the symbolic elements, the action elements, and a set of rules a 3D animation corresponding to the 2D representation, and transmitting, by the one or more processors, the 3D animation to an extended reality device for display.

Conversion of 2D diagrams to 3D rich immersive content

Methods, systems, and apparatus for performing virtual reality simulations using virtual reality systems. In some aspects a method includes the actions of logging user actions in a virtual reality system, wherein the user actions include one or more of (i) a path traveled by user in the virtual reality system, or (ii) user interactions with objects in the virtual reality system; aggregating logged action over a first user and a second user; and deriving modifications to the virtual reality system based at least in part on the aggregated logged actions. The modifications to the VR system can include modifying at least one of (i) appearance of objects shown in the VR system, (ii) floor plan of the VR system, and (iii) location of objects shown in the VR system.

Multi-device virtual reality, augmented reality and mixed reality analytics

According to examples, multiplatform based experience generation may include determining a set of connected devices that provide services related to virtual reality, and determining a platform type of each of the connected devices. Multiplatform based experience generation may further include receiving an indication of a modification to an intrinsic property of a virtual object on one of the set of connected devices, and generating, based on the received indication of the modification to the intrinsic property of the virtual object, a modification to a master version of the virtual object. Based on the platform type of another one of the set of connected devices and based on the modification to the master version of the virtual object, an indication of a modification to an intrinsic property of a virtual object on the another one of the set of connected devices may be generated.

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Dublin, CA, United States of America

Robert Dooley