Login / Signup
Low-discrepancy sampling for approximate dynamic programming with local approximators.
Cristiano Cervellera
Mauro Gaggero
Danilo Macciò
Published in:
Comput. Oper. Res. (2014)
Keyphrases
</>
approximate dynamic programming
linear program
dynamic programming
reinforcement learning
stochastic dynamic programming
step size
monte carlo
control policy
lower bound
sample size
factored mdps
linear programming
image sequences
computational complexity
probabilistic model
average cost