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» Learning to Win: Case-Based Plan Selection in a Real-Time St...
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ICCBR
2005
Springer
13 years 9 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
EWCBR
2008
Springer
13 years 5 months ago
Situation Assessment for Plan Retrieval in Real-Time Strategy Games
Case-Based Planning (CBP) is an effective technique for solving planning problems that has the potential to reduce the computational complexity of the generative planning approache...
Kinshuk Mishra, Santiago Ontañón, As...
ISDA
2010
IEEE
13 years 1 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
AAAI
2012
11 years 6 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala