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An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems.
Alessandro Abate
Maria Prandini
John Lygeros
Shankar Sastry
Published in:
CDC (2008)
Keyphrases
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approximate dynamic programming
hybrid systems
stochastic dynamic programming
discrete event
linear program
reinforcement learning
soft computing
intelligent systems
dynamic programming
meta learning
neural network
computational intelligence
black box
artificial intelligence
state space
control policy
step size
machine learning
dynamic systems
bayesian networks
least squares
average cost
simulation model
policy iteration
artificial neural networks
inductive learning
semi supervised