Books · January 18, 2026
A Reading List on Robust MDPs
A compact path through uncertainty sets, ambiguity, and risk-aware decision making in Markov models.
This reading path begins with standard Markov decision processes, then introduces model uncertainty, ambiguity sets, and distributionally robust formulations. The emphasis is on understanding what uncertainty is represented and what guarantees a method actually provides.
