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Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.
Ian M. Gemp
Rahul Savani
Marc Lanctot
Yoram Bachrach
Thomas W. Anthony
Richard Everett
Andrea Tacchetti
Tom Eccles
János Kramár
Published in:
CoRR (2021)
Keyphrases
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sample size
loss function
error bounds
relative error
error tolerance
approximation methods
objective function
cost function
closed form
test data
nash equilibrium
incomplete information
game theory
data sets
support vector
decision making
neural network