Textbooks

• Required: Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach , Prentice-Hall, Third Edition (2009) [R&N].
• Optional:
  • Richard Sutton & Andrew Barto, Reinforcement Learning: An Introduction, MIT Press. (limited chapters; freely available online; second edition draft ) [S&B]
  • Mausam & Andrey Kolobov Planning with Markov Decision Processes, Morgan Claypool, 2012. (Access is free from on campus) [M&K].
  • Casba Szepesvari Algorithms for Reinforcement Learning, Morgan Claypool, 2010. (Access is free from on campus) [S].
  • Ian Goodfellow, Yoshua Bengio, and Aaron Courville "Deep Learning" MIT Press, 2016 [GB&C] Chapters available online.