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    STUDIA INFORMATICA - Issue no. 1 / 2002  
         
  Article:   A NEW REAL TIME LEARNING ALGORITHM.

Authors:  GABRIELA ŞERBAN.
 
       
         
  Abstract:  It is well known that all Artificial Intelligence problems require some sort of searching [7], that is why search has represents an important issue in the field of Artificial Intelligence. Search algorithms are useful for problem solving by intelligent (single or multiple) agents. In this paper we propose an original algorithm (RTL), which extends the Learning Real-Time A* (LRTA*) algorithm [1], used for solving path-finding problems. This algorithm preserves the completeness and the characteristic of LRTA* (a realtime search algorithm), providing a better exploration of the search space. Moreover, we design an Agent for solving a path-finding problem (searching a maze), using the RTL algorithm.  
         
     
         
         
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