Title :
Reinforcement learning for autonomic network repair
Author :
Littman, Michael L. ; Ravi, Nishkam ; Fenson, Eitan ; Howard, Rich
Author_Institution :
Dept. of Comput. Sci., Rutgers Univ., USA
Abstract :
We report on our efforts to formulate autonomic network repair as a reinforcement-learning problem. Our implemented system is able to learn to efficiently restore network connectivity after a failure.
Keywords :
computer networks; fault tolerance; learning (artificial intelligence); telecommunication network management; autonomic network repair; network connectivity; reinforcement learning; Computer science; Cost function; Decision making; Dynamic programming; Fault diagnosis; Learning; Performance evaluation; Power system restoration; Process planning; Testing;
Conference_Titel :
Autonomic Computing, 2004. Proceedings. International Conference on
Print_ISBN :
0-7695-2114-2
DOI :
10.1109/ICAC.2004.1301380
