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ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret.
Stephen Marcus McAleer
Gabriele Farina
Marc Lanctot
Tuomas Sandholm
Published in:
ICLR (2023)
Keyphrases
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importance sampling
monte carlo
markov chain
particle filter
game theory
lower bound
kalman filter
particle filtering
machine learning
reinforcement learning
approximate inference
distributed systems
nash equilibrium