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the predictions against a conventional AC power-flow solver.; ; 3) Couple the RECEP methodology with Monte Carlo scenario generation, including sequential simulation when chronology matters. Use GridFM for fast
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal
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), with clear interfaces, documentation and diagnostics. You will benchmark existing R, Python and SAS implementations, run Monte Carlo simulation studies to evaluate statistical and computational