Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.