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Author

Kentaro Fujii

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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.

Riko Yokozawa, Kentaro Fujii, Yuta Nomura et al. · 1 citation

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