A life-cycle optimization framework for deteriorating infrastructure under hazards is formulated as an MDP with a Kronecker-factored tensor method that reduces computational complexity from exponential to linear while preserving exact dynamic programming solutions.
Efficient solution algorithms for factored MDPs
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A rate-distortion based switching strategy for adaptive state-action abstractions in RL decomposes value error into Bellman residual and bisimulation metric terms to achieve near-optimal performance under lossy compression in tabular settings.
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Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems
A life-cycle optimization framework for deteriorating infrastructure under hazards is formulated as an MDP with a Kronecker-factored tensor method that reduces computational complexity from exponential to linear while preserving exact dynamic programming solutions.