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Schuitema, E. (author), Caarls, W. (author), Wisse, M. (author), Jonker, P.P. (author), Babuska, R. (author)
Reinforcement Learning is a promising paradigm for adding learning capabilities to humanoid robots. One of the difficulties of the real world is the presence of disturbances. In Reinforcement Learning, disturbances are typically dealt with stochastically. However, large and infrequent disturbances do not fit well in this framework; essentially,...
conference paper 2010