![Stochastic control / Bayesian statistics / Statistical theory / Markov decision process / Reinforcement learning / Bayesian inference / Machine learning / Q-learning / Statistics / Dynamic programming / Markov processes Stochastic control / Bayesian statistics / Statistical theory / Markov decision process / Reinforcement learning / Bayesian inference / Machine learning / Q-learning / Statistics / Dynamic programming / Markov processes](https://www.pdfsearch.io/img/73d465a0a1de09fbf5b2db68c8c82ab4.jpg)
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City R. Variance / Edinburgh / / Company BP / MIT Press / K. As R / / Country United Kingdom / Scotland / / / Event Man-Made Disaster / / Facility University of Massachusetts Amherst / / IndustryTerm baseline algorithm / deterministic heuristic algorithm / belief-lookahead algorithm / good solutions / polynomial time algorithm / heuristic algorithms / exploit-like algorithm / benchmark algorithms / analytic solution / approximate solutions / learning algorithms / / Organization MIT / University of Massachusetts Amherst / U.S. Securities and Exchange Commission / / Person Thomas / V / Vincent Thomas / / Position author / model at the current time step / representative / / ProvinceOrState Alaska / Rhode Island / / PublishedMedium Machine Learning / / Technology baseline algorithm / PAC-MDP algorithms / PAC Algorithms / Optimistic BRL Algorithms / polynomial time algorithm / deterministic heuristic algorithm / good RL algorithm / benchmark algorithms / RL algorithms / Machine Learning / BRL algorithms / FDM / Bayesian RL algorithm / belief-lookahead algorithm / classic RL algorithms / Typical RL algorithms / pdf / exploit-like algorithm / /
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