Automated Layout Design for Building Game Worlds

    公开(公告)号:US20250083049A1

    公开(公告)日:2025-03-13

    申请号:US18882607

    申请日:2024-09-11

    Applicant: Autodesk, Inc.

    Abstract: A method and system provide the ability to build a game world. A story is obtained that provides a textual narrative of a sequence of events. Plot facilities and a set of constraints are extracted from the story. Each of the plot facilities is a conceptual location where an event happens in the story. Each constraint defines a spatial relation between plot facilities. A map is generated based on the set of constraints by: generating a terrain of two dimensional (2D) polygons that is each associated with a biome type, and assigning each plot facility to a point on the terrain. The assigning complies with a maximum number of constraints and utilizes reinforcement learning (RL) to optimize positions of the points.

    Customizable reinforcement learning of column placement in structural design

    公开(公告)号:US11941327B2

    公开(公告)日:2024-03-26

    申请号:US17071992

    申请日:2020-10-15

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/13 G06F30/27 G06N20/00

    Abstract: One embodiment of the present invention sets forth a technique for performing machine learning. The technique includes applying one or more placement rules to a floorplan of a building to generate a set of candidate column locations in the floorplan. The technique also includes selecting, using a first reinforcement learning (RL) agent, one or more column locations from the set of candidate column locations based on a structural stability of the one or more column locations. The technique further includes outputting the floorplan that includes the one or more column locations as a structural design for the building.

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