Title

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.

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