On Reinforcement Learning of Control Actions in Noisy and Non Markovian Domains

@inproceedings{Pendrith1994OnRL,
  title={On Reinforcement Learning of Control Actions in Noisy and Non Markovian Domains},
  author={Mark D. Pendrith},
  year={1994}
}
If reinforcement learning RL techniques are to be used for real world dynamic system control the problems of noise and plant disturbance will have to be addressed This study investigates the e ects of noise disturbance on ve di erent RL algorithms Watkins Q Learning QL Barto Sutton and Ander son s Adaptive Heuristic Critic AHC Sammut and Law s modern variant of Michie and Chamber s BOXES algorithm and two new algorithms developed during the course of this study Both these new algorithms are… CONTINUE READING
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