Considerable attention has been paid to the issue of value function approximation in the reinforcement learning literature [3].
Adaptive Value Function Approximations in Classifier Systems
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Considerable attention has been paid to the issue of value function approximation in the reinforcement learning literature [3]. One of the fundamental assumptions underlying algorithms for solving reinforcement learning problems is that states and state-action pairs have well-defined values that can be approximated and used to help determine an optimal policy. The quality of those approximations is a critical factor in determining the success of many algorithms in solving reinforcement learning problems.