@article{(Open Science Index):https://publications.waset.org/pdf/1689,
	  title     = {Biologically Inspired Controller for the Autonomous Navigation of a Mobile Robot in an Evasion Task},
	  author    = {Dejanira Araiza-Illan and  Tony J. Dodd},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {4},
	  number    = {8},
	  year      = {2010},
	  pages     = {750 - 755},
	  ee        = {https://publications.waset.org/pdf/1689},
	  url   	= {https://publications.waset.org/vol/44},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 44, 2010},
	}