Papers read in Artificial Intelligence Course
In this page, you can find the papers that I have studied in Ceng561 - Artificial Intelligence course.
- Tetris is Hard, Even to Approximate (pdf)
Authors: Ron Breukelaar, Erik D. Demaine, Susan Hohenberger, Hendrik Jan Hoogeboom, Walter A. Kosters and David Liben-Nowell
Publication : International Journal Of Computational Geometry and Applications - An Evolutionary Approach To Tetris (pdf)
Authors: Niko Böhm, Gabriella Kokai and Stefan Mandl
Publication: MIC2005 - Tetris and Decidability (pdf)
Authors: Hendrik Jan Hoogeboom, Walter A. Kosters
Publication: Elsevier 2003 - Learning Tetris
Using Noisy Cross-Entropy Method
(pdf)
Authors: Istvan Szita and Andras Lörincz
Publication: Neural Computation Magazine - Tetris: A Study Of Randomized Constraint Sampling (pdf)
Authors: Vivek F. Farias, Benjamin Van Roy
Publication: Stanford University