We propose two algorithms for Q-learning that use the two-timescale stochastic approximation methodology. The first of these updates Q-values of all feasible state
—Routing algorithms such as Distance Vector and Link States have the routing table size as ΩΩΩΩ (n), where n is the number of destination identifiers, thus providing only...
— Wireless routers equipped with smart antennas are capable of forming beams to neighboring devices to transmit/receive multiple packets simultaneously, hence achieving high netw...
We propose a novel algorithm called GA-MDP for solving the frequency assigment problem. GA-MDP inherits the spirit of genetic algorithms with an adaptation of Markov Decision Proc...