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Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation.
Shuhang Chen
Adithya M. Devraj
Andrey Bernstein
Sean P. Meyn
Published in:
ACC (2021)
Keyphrases
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stochastic approximation
reinforcement learning
monte carlo
temporal difference learning
policy iteration
dynamic programming
markov decision processes
global optimization
np hard
state space
fixed point
reinforcement learning algorithms
theoretical guarantees