EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.
Cognitive Neuroscience , volume =
3 Pith papers cite this work. Polarity classification is still indexing.
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EFE-based active inference planning is characterized as VFE on an augmented model plus entropy and planning corrections, with a derived message-passing implementation and grid-world validation.
Phototaxis in Chlamydomonas is reframed as curiosity-driven exploration in a POMDP implemented via CRN-ODEs, with IRL on 30 trajectories inferring an objective that reproduces observed light-alignment distributions and shows tumbling as information sampling.
citing papers explorer
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Implementation of reinforcement learning in chemical reaction networks: application to phototaxis as curiosity-driven exploration
Phototaxis in Chlamydomonas is reframed as curiosity-driven exploration in a POMDP implemented via CRN-ODEs, with IRL on 30 trajectories inferring an objective that reproduces observed light-alignment distributions and shows tumbling as information sampling.