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Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro.
Jing Xun
Tong Liu
Bin Ning
Yafei Liu
Published in:
IEEE Trans. Intell. Transp. Syst. (2020)
Keyphrases
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approximate dynamic programming
linear program
dynamic programming
stochastic dynamic programming
reinforcement learning
step size
steady state
energy consumption
markov chain
control policy
factored mdps
multiresolution
linear programming
control system
fixed point
learning tasks
policy iteration