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Helmer, Alexander (author), de Visser, C.C. (author), van Kampen, E. (author)
Reinforcement learning is a paradigm for learning decision-making tasks from interaction with the environment. Function approximators solve a part of the curse of dimensionality when learning in high-dimensional state and/or action spaces. It can be a time-consuming process to learn a good policy in a high dimensional state space directly. A...
conference paper 2018