Case Based Planning – Papers (2)
{"Image DocumentName": "Case Based Planning \u2013 Papers (2)", "Image ImageDescription": "2005 : Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game : Introduced the case-based tactician (CAT) which removes the assumption a of a static opponent which was used with Ponson and Spronck(2004) who used genetic algorithms that searches in a plan space and a weighting algorithm (dynamic scripting) that biases sub-plan retreival.CAT significantly outperforms the best among a set of genetically evolved plans when tested against random opponents : Defeating Novel Opponents in a Real-Time Strategy Game : The Case-Based Tactician (CAT) system (created by the same authors) uses case-based reasoning to learn to win the real-time strategy game Wargus. Previous work has shown CAT\u2019s ability to defeat a randomly selected opponent from a set against which it has trained. They now focus on the task of defeating a selected opponent while training on others. They describe CAT\u2019s algorithm and report its cross-validation performance against a set of Wargus opponents.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}