07-035 Fuzzy partition optimization for approximate fuzzy Q-iteration ∗

@inproceedings{Busoniu201307035FP,
  title={07-035 Fuzzy partition optimization for approximate fuzzy Q-iteration ∗},
  author={Lucian Busoniu and Damien Ernst and Bart De Schutter and Robert Babuska},
  year={2013}
}
Reinforcement Learning (RL) is a widely used learning paradigm for adaptive agents. Because exact RL can only be applied to very simple problems, approximate algorithms are usually necessary in practice. Many algorithms for approximate RL rely on basis-function representations of the value function (or of the Q-function). Designing a good set of basis… CONTINUE READING