EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.
Smallwood and Edward J
4 Pith papers cite this work. Polarity classification is still indexing.
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Feasible value functions in POMDPs under memoryless policies form a semi-algebraic set defined by polynomial inequalities from the model parameters.
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Error propagation mitigation in digital twins is cast as an MDP/POMDP with HMM-derived regimes as states, where the MDP policy maximizes reward and the POMDP recovers 95% of that performance.
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Expected Free Energy-based Planning as Variational Inference
EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.