Literature
Main Course Literature:
The main course literature is Martin J. Osborne, 2004, An introduction to Game Theory, Oxford University Press.
The exam will mainly focus on the parts of the literature outlined in the required readings.
See also: http://www.economics.utoronto.ca/osborne/igt/nash.pdf
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Alternative and complementary literature:
Previous course literature:
Previous years we’ve used another book, Osborne and Rubinstein, A Course in Game Theory.
Although it is a bit more technical it will also do as course literature if you prefer it to Osborne’s book. (Here is a list of the required reading for those using Osborne & Rubinstein)
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For an advanced approach:
For those who want a more advanced approach to Game Theory (and especially to non-cooperative game theory), we recommend Fudenberg and Tirole, Game Theory. ( Here’s a readinglist for Fudenberg & Tirole)
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Learning in games:
To read more on learning and game theory, we recommend Fudenberg and Levine, The Theory of Learning in Games, 1998, Chapter 2.
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See also: http://levine.sscnet.ucla.edu/Papers/Essay/ESSAY7.htm (Read the entire paper, bu focus on universal consistency).
Another excellent book is Sutton and Barto, Reinforcement learning, 1998, ISBN 026219398-1. There are online materials.
Neuro-dynamic programming (kompletterar Sutton and Barto)
ieeexplore.ieee.org/iel2/3470/10220/00478953.pdf?arnumber=478953
Machine learning in games: An overview:
http://citeseer.ist.psu.edu/380247.html
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