Reinforcement Leaning Using a Gauss-Sigmoid Neural Network

yan et al. has pointed out that the combination of orcement learning and Sigmoid-based neural ork sometimes leads to instability of the learning. is paper, it is proposed that a Gauss-Sigmoid neural ork, in which continuous input signals are put into a oid-based neural network through a RBF network, ilized for reinforcement learning. It is confirmed simulation of the same task as in Boyan et al.[1] the learning is faster and more stable when the s-Sigmoid neural network is used, than when the oid-based neural network is used.