1. A.G. Barto and R.S., Reinforcement Learning, MIT Press, 1998.
  2. Bertsekas, D. P. and Tsitsiklis, J. N. (1996). Neural Dynamic Programming. Athena Scientific, Belmont, MA.
  3. Gardner (1981). Samuel's checkers player. In Barr, A. and Feigenbaum, E. A., editors, The Handbook of Artificial Intelligence, I, pages 84--108. William Kaufmann, Los Altos, CA.
  4. Samuel, A. L. (1967). Some studies in machine learning using the game of checkers. II---Recent progress. IBM Journal on Research and Development, pages 601--617.
  5. Tesauro, G. J. (1994). TD--gammon, a self-teaching backgammon program, achieves master-level play. Neural Computation, 6(2):215--219.
  6. Tesauro, G. J. (1995). Temporal difference learning and TD-Gammon. Communications of the ACM, 38:58--68.
  7. Tsitsiklis, J. N. and Van Roy, B. (1996). Feature-based methods for large scale dynamic programming. Machine Learning, 22:59--94.