1. Neural Nets, Kevin Gurney
  2. An Introduction to Artificial Neural Networks, C.A.L. Bailer-Jones berg, R. Gupta, H.P. Singh
  3. Neural Networks, Genevieve Orr
  4. Machine Learning, Neural and Statistical Classification, D. Michie, D.J. Spiegelhalter, C.C. Taylor
  5. Planning Algorithms, Steven M. LaValle
  6. Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto
  7. An Introduction to Neural Networks Ben Krose, Patrick van der Smagt
  8. Neural Networks, Christos Stergiou and Dimitrios Siganos
  9. Convex Optimization, Stephen Boyd and Lieven Vandenberghe
  10. Reinforcement Learning:An Introduction, Richard S. Sutton, Andrew G. Barto
  11. Computing and the Brain, Dr Bruce Graham
  12. Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams
  13. Prolog and Natural-Language Analysis, Fernando C. N. Pereira, Stuart M. Shieber

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