The disclosed systems and methods provide for generating real-time egress plans for users in a building, based on the users' current locations. As the users' current locations change, egress plans associated with the users can be dynamically modified in real-time. The egress plans can also be generated, modified, and/or trained based on inputted information about the user. The disclosed technology can include a mobile application for presenting, in a centralized interface, information about user-specific egress plans, training the user for different emergency scenarios, improving or changing features in the building to improve safety, and user profiles. The mobile application can include training simulation games to help prepare the users to safely egress during an emergency. The disclosed technology can also predict building component and structure emergency risk levels. The disclosed technology can also designate zones in the building based on possible egress routes.

This application discloses a method, an apparatus, and a device for scheduling virtual objects in a virtual environment, which relate to artificial intelligence (AI), and belong to the field of computer technologies. The method includes: obtaining frame data generated by an application program associated with the virtual environment; performing feature extraction on the frame data to obtain a state feature of a target virtual object; performing deduction on the state feature of the target virtual object according to N scheduling policies; invoking a value network prediction model to process the N subsequent state features, to obtain expected returns of executing N scheduling policies; and controlling the target virtual object to execute a scheduling policy having a highest expected return.

Provided is a display device including: a display, a communication interface comprising communication circuitry configured to communicate with a source device, and a processor configured to execute at least one instruction. When an aspect ratio of an image corresponding to content is changed, the display device may output an optimized full screen in response to the change of the aspect ratio.

This application discloses a method, an apparatus, and a device for scheduling virtual objects in a virtual environment, which relate to artificial intelligence (AI), and belong to the field of computer technologies. The method includes: obtaining frame data generated by an application program associated with the virtual environment; performing feature extraction on the frame data to obtain a state feature of a target virtual object; performing deduction on the state feature of the target virtual object according to N scheduling policies; invoking a value network prediction model to process the N subsequent state features, to obtain expected returns of executing N scheduling policies; and controlling the target virtual object to execute a scheduling policy having a highest expected return.

This application discloses a method and apparatus for determining characteristics of a sound source. The method may include: acquiring a first position of a first virtual role controlled by an application client in a virtual scene; detecting, in a sound source detection area associated with the first position, a second position of a sound source virtual object in the virtual scene; determining transparency of a position mark that matches the sound source virtual object, according to a sound source distance between the first position and the second position, the position mark identifying the second position of the sound source virtual object; and displaying, on an interaction interface of the application client, the position mark of the sound source virtual object according to the transparency.

Virtual game worlds for computer games can be provided using machine learning. The use of machine learning enables the virtual game worlds to be generated at run time by standard consumer hardware devices. Machine learning agents are trained in advance to the characteristics of the particular game world. Then, these suitably trained machine learning agents can be used to generate a relevant portion of a virtual game world, such as a portion of the virtual game world that is proximate to a play's position. Advantageously, the virtual game world can be provided in high resolution and is able to cover a substantially larger region than conventional practical.

Virtual game worlds for computer games can be provided using machine learning. The use of machine learning enables the virtual game worlds to be generated at run time by standard consumer hardware devices. Machine learning agents are trained in advance to the characteristics of the particular game world. Then, these suitably trained machine learning agents can be used to generate a relevant portion of a virtual game world, such as a portion of the virtual game world that is proximate to a play's position. Advantageously, the virtual game world can be provided in high resolution and is able to cover a substantially larger region than conventional practical.

The generation, association, and display of in-game tags are disclosed. Such tags introduce an additional dimension of community participation to both single and multiplayer games. Through such tags, players are empowered to communicate through filtered text messages and images as well as audio clips that other game players, including top rated players, have generated and placed at particular coordinates and/or in context of particular events within the game space. The presently described in-game tags and associated user generated content further allow for label based searches with respect to game play.

A region adjustment method, a storage medium, and an electronic apparatus are provided. The region adjustment method includes: determining a region allowing a target object to move in a map, the region comprising a first region that allows the target object to move without being harmed and participate in a target task in the map; determining scene objects set in the map; obtaining object types of the scene objects in a plurality of sub-regions of the first region; based on a sub-region among the plurality of sub-regions in which an object type of a scene object meeting a target condition in the first region, determining the sub-region in which the object type meets the target condition as a second region; and switching the region allowing the target object to move from the first region to the second region.

A region adjustment method, a storage medium, and an electronic apparatus are provided. The region adjustment method includes: determining a region allowing a target object to move in a map, the region comprising a first region that allows the target object to move without being harmed and participate in a target task in the map; determining scene objects set in the map; obtaining object types of the scene objects in a plurality of sub-regions of the first region; based on a sub-region among the plurality of sub-regions in which an object type of a scene object meeting a target condition in the first region, determining the sub-region in which the object type meets the target condition as a second region; and switching the region allowing the target object to move from the first region to the second region.