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CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
13 years 7 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
NIPS
1993
13 years 9 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
13 years 6 months ago
Towards the Automatic Recognition of Computational Thinking for Adaptive Visual Language Learning
Visual programming languages can be used to make computer science more accessible to a broad range of students. The evaluative focus of current research in the area of visual lang...
Kyu Han Koh, Ashok R. Basawapatna, Vicki Bennett, ...
CORR
2011
Springer
171views Education» more  CORR 2011»
13 years 2 months ago
Parallel Online Learning
Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequenti...
Daniel Hsu, Nikos Karampatziakis, John Langford, A...
CI
2010
129views more  CI 2010»
13 years 7 months ago
On-Line Case-Based Planning
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...
Santi Ontañón, Kinshuk Mishra, Neha ...