Kai Yin

Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes

2020

We propose a principled kernel-based policy iteration algorithm to solve the continuous-state Markov Decision Processes (MDPs). In contrast to most decision-theoretic planning frameworks, which assume fully known state transition models, we design a method that …