Differentially Private Reward Functions in Policy Synthesis for Markov Decision Processes

Alexander Benvenuti, Calvin Hawkins, Brandon Fallin +4

Markov decision processes often seek to maximize a reward function, but onlookers may infer reward functions by observing the states and actions of such systems, revealing sensitiv…