Systems | Information | Learning | Optimization
 

Approximate Optimality of Finite Models in Stochastic Control and Decentralized Control

For stochastic control problems with uncountable state and action spaces, the computation of optimal policies is known to be prohibitively hard. In this talk, we will present conditions under which finite models obtained through quantization of the state and action sets can be used to construct approximately optimal policies. Under …