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Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
Autonomous robotic navigation in real-world environments requires exploration to acquire environmental information as well as goal-directed navigation in order to reach specified targets. Active inference (AIF) based on the free-energy principle provides a unified framework for these behaviors by mi
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