Conclusions
We developed a simultaneous update method for receptive fields and the reward table, which shows a more ideal reward table, especially in the case of small number of filters. The updated receptive fields are more edge-like which is better for following the actions and the reward table looks like an identity matrix. The proposed approach gives rise to not only sensory representations, but also meaningful motor plans.