TY  - RPRT
ID  - ba:Li
T1  - Enhancing Poker Agents with Hand History Statistics
A1  - Li, Andreas
Y1  - 2013
M1  - Bachelor-Arbeit
T2  - TU Darmstadt, Knowledge Engineering Group
UR  - /lehre/arbeiten/bachelor/2013/Li_Andreas.pdf
KW  - database
KW  - hand histories
KW  - poker
N2  - Poker is one of the more recent topics in the research field of artificial intelligences. The increasing popularity of online
poker has led to development of new software which helps online poker players to gain an advantage over other players.
The software displays dynamically calculated statistics for each player which can help to make the right decisions at
the poker table and can also help the player in finding weaknesses in their own play. In this work we want to evaluate
the viability of these statistics in terms of usage in poker agents with the means of mathematical statistics and machine
learning. Finally we summarize our findings and propose how these statistics can be used in poker agents.
M1  - betreuer={ELM
M1  - FJ}
ER  -