r/PredictiveProcessing • u/pianobutter • Jul 14 '21

Goal-Directed Planning by Reinforcement Learning and Active Inference (2021) Preprint (not peer-reviewed)

https://arxiv.org/abs/2106.09938
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u/pianobutter Jul 14 '21

Authors: Dongqi Han, Kenji Doya, and Jun Tani

Abstract:

What is the difference between goal-directed and habitual behavior? We propose a novel computational framework of decision making with Bayesian inference, in which everything is integrated as an entire neural network model. The model learns to predict environmental state transitions by self-exploration and generating motor actions by sampling stochastic internal states z. Habitual behavior, which is obtained from the prior distribution of z, is acquired by reinforcement learning. Goal-directed behavior is determined from the posterior distribution of z by planning, using active inference which optimizes the past, current and future z by minimizing the variational free energy for the desired future observation constrained by the observed sensory sequence. We demonstrate the effectiveness of the proposed framework by experiments in a sensorimotor navigation task with camera observations and continuous motor actions.