Artificial Neural Networks Applied in a Strategic Bidding Environment
Document Type
Thesis
Publication Date
2004
Advisor
Carl Burch
Abstract
In this project we applied reinforcement learning techniques to the two-player version of California Jack. We modified the rules of the game only slightly: due to the inability to translate the "played first" rule into the program, we instead chose to have any situation in which both players bid the same value card to simply count zero for both players.
Recommended Citation
Durnan, Timothy, "Artificial Neural Networks Applied in a Strategic Bidding Environment" (2004). Honors Theses, 1963-2015. 410.
https://digitalcommons.csbsju.edu/honors_theses/410