Third edition of Artificial Intelligence: foundations of computational agents, Cambridge University Press, 2023 is now available (including the full text).
11.5 References and Further Reading
Unsupervised learning is discussed by Fisher (1987) and Cheeseman et al. (1988). Bayesian classifiers are discussed by Duda et al. (2001) and Langley et al. (1992). Friedman and Goldszmidt (1996a) discuss how the naive Bayesian classifier can be generalized to allow for more appropriate independence assumptions.
For an overview of learning belief networks, see Heckerman (1999), Darwiche (2009), and [Koller and Friedman (2009)]. Structure learning using decision trees is based on Friedman and Goldszmidt (1996b).
For an introduction to reinforcement learning, see Sutton and Barto (1998) or Kaelbling et al. (1996). Bertsekas and Tsitsiklis (1996) investigate function approximation and its interaction with reinforcement learning.
