%0 Journal Article
	%A Dejanira Araiza-Illan and  Tony J. Dodd
	%D 2010
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 44, 2010
	%T Biologically Inspired Controller for the Autonomous Navigation of a Mobile Robot in an Evasion Task
	%U https://publications.waset.org/pdf/1689
	%V 44
	%X A novel biologically inspired controller for the autonomous
navigation of a mobile robot in an evasion task is
proposed. The controller takes advantage of the environment by
calculating a measure of danger and subsequently choosing the
parameters of a reinforcement learning based decision process.
Two different reinforcement learning algorithms were used: Qlearning
and Sarsa (λ). Simulations show that selecting dynamic
parameters reduce the time while executing the decision making
process, so the robot can obtain a policy to succeed in an escaping
task in a realistic time.
	%P 750 - 755