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    STUDIA INFORMATICA - Issue no. 1 / 2003  
         
  Article:   A NEW REINFORCEMENT LEARNING ALGORITHM.

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 algorithm (URU - Utility-Reward-Utility), which is a temporal difference reinforcement learning algorithm. Moreover, we design an Agent for solving a path-finding problem (searching a maze), using the URU algorithm.  
         
     
         
         
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