| DO NOT download this project via the ZIP file option on GitHub (i.e. largefiles are not included -- fbx, png, etc. files will be missing). Clone the project using git. |  |
Welcome to the samples repository for the AI Planner. The following samples are included in this repository:
- VacuumRobot - Control a robot optimizing its path through an ever-dirty world.
- Match3 - Use planning to solve goal-based, tile-matching puzzles.
- EscapeRoom - Escape a room with locked doors, a key, and pressure switches by coordinating three agents with a single planner.
The AI Planner includes authoring tools and a system for automated decision-making.
Automated planners are useful for:
- Directing agent behavior either in a cooperative, neutral, or adversarial capacity
- Auto-generating storylines or as an online story manager
- Validating game design mechanics
- Assisting in creating tutorials
- Automated testing
Start by defining a domain definition of traits/enumerations. Then, create action definitions for what actions are possible in the domain. Once the planning problem is defined, the planner system will iteratively build a plan that converges to an optimal solution. Execute these plans by adding a decision controller to your agent.
- Clone this repo (downloading a .zip file will not include largefiles -- e.g. fbx, png)
- Open any of the sample projects in Unity version 2019.3
Documentation for the AI Planner is available through the package documentation.
For further discussion, please visit the forum.
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