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Hamid Reza Maei,
an Iranian born physicist, computer scientist and software engineer. He holds a Ph.D. in 2011 from University of Alberta [1], where he was member of the reinforcement learning and artificial intelligence (RLAI) group [2] at the Department of Computing Science [3] to create reinforcement learning algorithms for large-scale problems and was involved in the development of a new family of temporal-difference learning algorithms suitable for value function approximation. The goal of these algorithms was to bring us closer to the development of a universal prediction learning algorithm suitable for learning experientially grounded knowledge of the world [4].
Hamid Reza Maei [5]

Selected Publications

[6]

External Links


References

  1. ^ Hamid Reza Maei (2011). Gradient Temporal-Difference Learning Algorithms. Ph.D. thesis, University of Alberta, advisor Richard Sutton, pdf
  2. ^ Reinforcement Learning and Artificial Intelligence (RLAI)
  3. ^ Department of Computing Science, University of Alberta
  4. ^ Lifeboat Foundation Bios: Hamid Reza Maei
  5. ^ Lifeboat Foundation Bios: Hamid Reza Maei
  6. ^ dblp: Hamid Reza Maei

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