Subject: Java Applet:Black Jack and Reinforcement Learning (fwd)

From: Saleh Elmohamed <[email-masked]>
Date: Wed, 24 Jun 1998 11:27:24 -0400 (EDT)

---------- Forwarded message ----------
Date: Tue, 17 Mar 1998 14:15:59 +0100
From: Andres Perez-Uribe <[email-masked]>
To: [email-masked]
Subject: Java Applet:Black Jack and Reinforcement Learning 

Dear Connectionist,

This is to announce a Java applet that implements a simplified 
version of the game of Black Jack. 

One or two players can play against the dealer (i.e., the casino). 
Though one or both players can be set to be your computer.
By default, the computer plays in a random manner. However, 
you may let it play against the dealer and learn to play Black Jack 
from experience. The learning algorithm it uses is called the SARSA 
algorithm, a reinforcement learning algorithm introduced by G.Rummery 
and M.Niranjan. 

URL : http://lslwww.epfl.ch/~aperez/BlackJack/

For further information on reinforcement learning and Black Jack
playing,
you may refer to the www page "Learning to Play Black Jack with
Artificial Neural Networks" :

URL : http://lslwww.epfl.ch/~aperez/rlbj.html

also at the Logic Systems Laboratory, Swiss Federal Institute of 
Technology-Lausanne.

Best regards,

-- 
Andres PEREZ-URIBE
Logic Systems Laboratory
Computer Science Department
Swiss Federal Institute of Technology-Lausanne
1015 Lausanne, Switzerland
Email: [email-masked]
http://lslwww.epfl.ch/~aperez
Tel: +41-21-693-2652
Fax: +41-21-693 3705