References correctly added and docstring updated with correct Name.

Author: bing-j

axelrod/strategies/epsilon_greedy.py

@@ -15,7 +15,7 @@ class EpsilonGreedy(Player):
 
     Names:
 
-    # TODO: reference Sutton & Barto's Reinforcement Learning: an Introduction 2nd Ed.
+    - Epsilon-greedy: [Sutton2018]_
     """
 
     name = "$\varepsilon$-greedy"

docs/reference/bibliography.rst

@@ -63,6 +63,7 @@ documentation.
 .. [Shakarian2013] Shakarian, P., Roos, P. & Moores, G. A Novel Analytical Method for Evolutionary Graph Theory Problems.
 .. [Slany2007] Slany W. and Kienreich W., On some winning strategies for the iterated prisoner’s dilemma, in Kendall G., Yao X. and Chong S. (eds.) The iterated prisoner’s dilemma: 20 years on. World Scientific, chapter 8, pp. 171-204, 2007.
 .. [Stewart2012] Stewart, a. J., & Plotkin, J. B. (2012). Extortion and cooperation in the Prisoner’s Dilemma. Proceedings of the National Academy of Sciences, 109(26), 10134–10135. http://doi.org/10.1073/pnas.1208087109
+.. [Sutton2018] Sutton, R. S., & Barto, A. G. (2018). Multi-armed Bandits. In Reinforcement Learning: An Introduction (2nd ed., pp. 25–45). MIT Press. http://incompleteideas.net/book/the-book-2nd.html
 .. [Szabo2007] Szabó, G., & Fáth, G. (2007). Evolutionary games on graphs. Physics Reports, 446(4-6), 97–216. http://doi.org/10.1016/j.physrep.2007.04.004
 .. [Gaudesi2016] Gaudesi, Marco, et al. "Exploiting evolutionary modeling to prevail in iterated prisoner’s dilemma tournaments." IEEE Transactions on Computational Intelligence and AI in Games 8.3 (2016): 288-300.
 .. [Tzafestas2000] Tzafestas, E. (2000). Toward adaptive cooperative behavior. From Animals to Animals: Proceedings of the 6th International Conference on the Simulation of Adaptive Behavior {(SAB-2000)}, 2, 334–340.