EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.
Bulletin of the American Mathematical Society , volume =
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Forward-looking evolutionary game dynamics are formulated by coupling pairwise comparison protocols with static Hamilton-Jacobi-Bellman equations as a mean field game, with exploration cost incorporated as a constraint via the optimal Lagrangian multiplier, uniqueness shown under conditions, and low
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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.
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Forward-looking evolutionary game dynamics subject to exploration cost
Forward-looking evolutionary game dynamics are formulated by coupling pairwise comparison protocols with static Hamilton-Jacobi-Bellman equations as a mean field game, with exploration cost incorporated as a constraint via the optimal Lagrangian multiplier, uniqueness shown under conditions, and low