A method and apparatus for providing a game strategy guide is provided. The method includes calculating a score associated with an achievement of a game goal based on current state information of a game character of a user, providing a user terminal of the user with a game strategy guide interface including information associated with the calculated score, receiving change information of the current state information from the user terminal, recalculating the score based on the received change information, and transmitting information associated with the recalculated score to the user terminal.

A method and apparatus for providing a game strategy guide is provided. The method includes calculating a score associated with an achievement of a game goal based on current state information of a game character of a user, providing a user terminal of the user with a game strategy guide interface including information associated with the calculated score, receiving change information of the current state information from the user terminal, recalculating the score based on the received change information, and transmitting information associated with the recalculated score to the user terminal.

The present invention contemplates a method of producing a walkabout reality for a user through an augmented reality engine. The augmented reality engine retrieves data associated with user behavioral characteristics and identifies user behavioral characteristics from user patterns of behavior in at least one of a third-party virtual environment and a current physical environment. The augmented reality engine further analyzes the current physical environment to determine one or more customizable elements of the current physical environment and determines a predicted visual preference of the user. The augmented reality engine identifies one or more visual elements associated with the predicted visual preference of the user and renders a virtualized current physical environment within a threshold distance of the user by superimposing at least one of the one or more visual elements associated with the third-party virtual environment onto the one or more determined features and associated feature characteristics.

The present invention contemplates a method of producing a walkabout reality for a user through an augmented reality engine. The augmented reality engine retrieves data associated with user behavioral characteristics and identifies user behavioral characteristics from user patterns of behavior in at least one of a third-party virtual environment and a current physical environment. The augmented reality engine further analyzes the current physical environment to determine one or more customizable elements of the current physical environment and determines a predicted visual preference of the user. The augmented reality engine identifies one or more visual elements associated with the predicted visual preference of the user and renders a virtualized current physical environment within a threshold distance of the user by superimposing at least one of the one or more visual elements associated with the third-party virtual environment onto the one or more determined features and associated feature characteristics.

The present disclosure describes techniques for training a model and improving game performance using the model. The disclosed techniques comprise obtaining a plurality of sets of game data from a plurality of terminal devices, the plurality of sets of game data being stored in a plurality of segment replay buffers; sampling the plurality of sets of game data based on a predetermined priority and obtaining a sampling result; inputting the sampling result into a loss function and training a model by using a calculation result of the loss function; and determining a quality (Q) value of each action performed by a virtual object in a game run on a terminal device among the plurality of terminal devices by using the model.

The present disclosure describes techniques for training a model and improving game performance using the model. The disclosed techniques comprise obtaining a plurality of sets of game data from a plurality of terminal devices, the plurality of sets of game data being stored in a plurality of segment replay buffers; sampling the plurality of sets of game data based on a predetermined priority and obtaining a sampling result; inputting the sampling result into a loss function and training a model by using a calculation result of the loss function; and determining a quality (Q) value of each action performed by a virtual object in a game run on a terminal device among the plurality of terminal devices by using the model.

In various examples, when a user presses a button to interact with an object while playing a mobile video game, a prioritization zone around a targeting reticle can be defined. If the user positions the prioritization zone on a group of objects, a set of prioritization rules are applied to identify high importance objects (e.g., game Champions) in the prioritization zone. Based on the prioritization rules, the system can select the identified high importance object found inside the prioritization zone that is closest to the targeting reticle. In some embodiments, the prioritization zone is activated only for a defined period of time after the user presses the attack button. If the user releases the attack button during the defined period of time, the system can identify any of the objects in the prioritization zone and select a high importance object to interact with (e.g., launch an attack).

A server is configured to detect an option element of an advantage option for an option set player and customize a specification of the advantage option that has been set or to be set in the future, based on the option element thus detected, to increase the attractiveness of the advantage option so that the player will be more motivated to actively acquire the advantage option.

This application discloses a method for selecting an ability of a virtual object in a virtual battle performed by a computer device. The method includes: displaying a first ability identifier of a first ability, the first ability being an ability configured for the virtual object to perform the first ability at a first level in a virtual battle; displaying at least two second ability identifiers of at least second abilities associated with the virtual object in response to the virtual object changing from the first level to a second level in the virtual battle, the second abilities corresponding to the second level, and the at least two second ability identifiers comprising a target second ability identifier; receiving a selection operation on the target second ability identifier; and replacing the first ability with a second ability according to the selection operation.

A first image related to a progress of a game is displayed on a display unit, an UI (User Interface) image receiving a first input operation related to a result of the game is displayed on the display unit in a manner of being superimposed on the first image, and the UI image is deleted by receiving a second input operation from the user even when the first input operation is not yet received.