Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators.

Artur Dubrawski Jeff Schneider

Published in: AISTATS (1997)

Keyphrases

stochastic optimization
function approximators
function approximation
reinforcement learning
multistage
temporal difference methods
temporal difference
neural network
learning tasks
reinforcement learning algorithms
robust optimization
machine learning
artificial intelligence
linear programming