The cellular simultaneous recurrent network adaptive critic design for the generalized maze problem has a simple closed-form solution

Donald C. Wunsch · 2000

The generalized maze problem has been considered as an interesting testbed by various researchers in AI and neural networks. The most significant results, from a neural networks point of view, were: 1. Simultaneous recurrent networks are necessary if a neural network-based cellular automaton approach to the problem is to be successful. 2. These networks can be designed so that convergence to a correct solution is assured. Here, a simple closed-form solution for the critic is shown, making adaptation unnecessary. Furthermore, it is shown that the design converges to the correct solution in only J steps, and the worst case convergence speed for an N/spl times/N mesh is derived.

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