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ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
14 years 2 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
IJCAI
2007
13 years 9 months ago
Analogical Learning in a Turn-Based Strategy Game
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Thomas R. Hinrichs, Kenneth D. Forbus
IJCAI
2003
13 years 9 months ago
Learning Minesweeper with Multirelational Learning
Minesweeper is a one-person game which looks deceptively easy to play, but where average human performance is far from optimal. Playing the game requires logical, arithmetic and p...
Lourdes Peña Castillo, Stefan Wrobel
ICCBR
2005
Springer
14 years 1 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 9 months ago
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
David B. Leake, Jay H. Powell