Reinforcement learning in continuous state space with perceptual aliasing by using complex-valued RBF network

Reinforcement learning for continuous state space with perceptual aliasing is proposed. Complex-valued reinforcement learning is effective for perceptual aliasing. In continuous state space, the conventional complex-valued reinforcement learning demands the discretization of continuous state. However, it is difficult to discretize continuous state suitably. In this paper, complex-valued reinforcement learning using complex-valued RBF network is proposed. An experiment shows that proposed method is effective for continuous state space with perceptual aliasing.