Bibliografia

Principal

• Artigos das revistas e das conferências mais relevantes na área.:
• Reinforcement Learning: An Introduction: Richard S. Sutton and Andrew G. Barto 1998 M.I.T. Press.
• Algorithms for Reinforcement Learning: Csaba Szepesvári 2010 Morgan and Claypool Publishers.
• Markov Decision Processes: Discrete Stochastic Dynamic Programming: Martin L. Puterman 2005 Wiley Interscience.
• Pattern Recognition and Machine Learning: Christopher Bishop 2006 Springer
• Prediction, Learning and Games: Nicholo Cèsa-Bianchi and Gabor Lugosi 2006 Cambridge University Press.

Secundária

Não foi definida bibliografia secundária