Monte-Carlo Tree Search for Simulated Car Racing
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
the open-source racing game TORCS. The presented approach is based on the development of an efficient forward model and the discretization of the action space. This combination allows the controller to effectively search the tree of potential future states.
Results show that it is indeed possible to implement a competent MCTS-based racing controller. The controller generalizes to most road tracks as long as a warm-up period is provided.
|Title of host publication||Proceedings of the 10th International Conference on the Foundations of Digital Games (FDG 2015), June 22-25, 2015, Pacific Grove, CA, USA|
|Number of pages||5|
|Publisher||Association for Computing Machinery|
|Publication status||Published - 2015|