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A General Framework for Bounding Approximate Dynamic Programming Schemes.
Yajing Liu
Edwin K. P. Chong
Ali Pezeshki
Zhenliang Zhang
Published in:
IEEE Control. Syst. Lett. (2021)
Keyphrases
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approximate dynamic programming
linear program
stochastic dynamic programming
reinforcement learning
dynamic programming
upper bound
step size
average cost
control policy
factored mdps
image segmentation
lower bound
optimization algorithm