-
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.
Inventor: Yi Wang , Adam Gaier , Dale Zhao , Hilmar Alexander Koch , Jieliang Luo , Christopher Michael Wade , Evan Atherton
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.
-
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.
Inventor: Yi Wang , Mehdi Nourbakhsh
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.
-