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Python code that implements the Inverse Correlated Equilibrium optimization
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README.md
ce.py Initial commit
chicken.py renamed chicken() to create()
game.py Initial commit
ice.py Initial commit
indexing.py Initial commit
loss.py added logloss
routing.py added routing game, changed creation function name to create
run.py added example usage for routing game
sample.py
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README.md

ice

Author: Kevin Waugh (waugh@cs.cmu.edu)

Solves the ICE estimation problem described in Waugh et al. 2011 using stochastic gradient descent. The routing game described in the paper is included as an example. See run.py for example usage.

This code requires numpy and scipy.

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