Xiao-Shuang Wang

Policy Gradient Optimization for Markov Decision Processes with Epistemic Uncertainty and General Loss Functions

Motivated by many application problems, we consider Markov decision processes (MDPs) with a general loss function and unknown parameters. To mitigate the epistemic uncertainty associated with unknown parameters, we take a Bayesian approach to estimate the parameters from data and impose a coherent risk functional (with...