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    STUDIA INFORMATICA - Issue no. 2 / 2003  
         
  Article:   A NEW INTERFACE FOR REINFORCEMENT LEARNING SOFTWARE.

Authors:  GABRIELA ŞERBAN.
 
       
         
  Abstract:  The field of Reinforcement Learning, a sub-field of machine learn- ing, represents an important direction for research in Artificial Intelligence, the way for improving an agent''s behavior, given a certain feed-back about its performance. In this paper we propose an original interface for programming reinforcement learning simulations in known environments. Using this inter- face, there are possible simulations both for reinforcement learning based on the states'' utilities and learning based on actions'' values (Q-learning).  
         
     
         
         
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