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
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
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The paper proposes Maturing Markov Decision Processes (MMDPs) built on information-action asymmetry, an expiring-action priority principle, and a structure-aware RL framework, with experiments showing efficiency gains on replenishment, cash management, and production tasks.
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.
citing papers explorer
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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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Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets
The paper proposes Maturing Markov Decision Processes (MMDPs) built on information-action asymmetry, an expiring-action priority principle, and a structure-aware RL framework, with experiments showing efficiency gains on replenishment, cash management, and production tasks.
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Optimal sequential decision-making for error propagation mitigation in digital twins
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.