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Variance Reduction for Reinforcement Learning in Input-Driven Environments.
Hongzi Mao
Shaileshh Bojja Venkatakrishnan
Malte Schwarzkopf
Mohammad Alizadeh
Published in:
ICLR (Poster) (2019)
Keyphrases
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variance reduction
reinforcement learning
gradient estimation
monte carlo
sample size
policy gradient
random numbers
bias variance decomposition
importance sampling
machine learning
state space
quasi monte carlo
bayesian networks
active learning
dynamic programming
reinforcement learning algorithms