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Scaling Active Inference
In reinforcement learning (RL), agents often operate in partially observed and uncertain environments. Model-based RL suggests that this is best achieved by learning and exploiting a probabilistic model of the world. `Active inference' is an emerging normative framework in cognitive and computational neuroscience that offers a unifying account of how …