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Python code that implements the Inverse Correlated Equilibrium optimization

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Octocat-spinner-32 README.md
Octocat-spinner-32 ce.py
Octocat-spinner-32 chicken.py
Octocat-spinner-32 game.py
Octocat-spinner-32 ice.py
Octocat-spinner-32 indexing.py
Octocat-spinner-32 loss.py
Octocat-spinner-32 routing.py
Octocat-spinner-32 run.py
Octocat-spinner-32 sample.py
Octocat-spinner-32 sgd.py
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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