%0 Journal Article
%T Robot control using Q-Learning
%A Sz¨¢nt¨® Zolt¨¢n
%J Scientific Bulletin of the ''Petru Maior" University of T£¿rgu Mure£¿
%D 2012
%I Editura Universit??ii "Petru Maior"
%X This paper focuses on machine learning, where an agent learns how to solve a specific problem. The learning process will take place in a simulated environment, so the effectiveness can be measured without any potential damage to real the robot. QLearning is a temporal-difference learning method, that maps the effectiveness of an action in a given situation. Our learning agents use this method to solve a simple ¡°catch and escape¡± scenario in a 2D world.
%K robot control
%K q-learning
%K reinforcement learning
%K simulation
%K ¦Å-greedy algorithm
%U http://scientificbulletin.upm.ro/papers/2012/26_1/ROBOT%20CONTROL%20USING%20Q-LEARNING.pdf