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most citedAn experimental study of two predictive reinforcement learning methods and comparison with model-predictive control

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math.OC2021

A study of first-passage time minimization via Q-learning in heated gridworlds

M. A. Larchenko, P. Osinenko, G. Yaremenko +1

Optimization of first-passage times is required in applications ranging from nanobots navigation to market trading. In such settings, one often encounters unevenly distributed nois…