Robust Optimization for Hybrid MDPs with State-Dependent Noise
Recent advances in solutions to Hybrid MDPs with discrete and continuous state and action spaces have significantly extended the class of MDPs for which exact solutions can be derived, albeit at the expense of a restricted transition noise model. In this
|Collections||ANU Research Publications|
|Source:||IJCAI International Joint Conference on Artificial Intelligence|
|01_Zamani_Robust_Optimization_for_Hybrid_2013.pdf||2.21 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.