Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
A deep AIF framework that integrates a diffusion policy as the policy model and a multiple timescale recurrent state-space model (MTRSSM) as the world model is proposed, demonstrating how AIF based on EFE minimization can unify exploration and goal-directed navigation in real-world robotic settings.