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Parallelizing Stochastic Approximation Through Mini-Batching and Tail-Averaging.
Prateek Jain
Sham M. Kakade
Rahul Kidambi
Praneeth Netrapalli
Aaron Sidford
Published in:
CoRR (2016)
Keyphrases
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stochastic approximation
monte carlo
multi start
scheduling problem
reinforcement learning
policy iteration
state space
graphical models
temporal difference learning