Differentially Private Exploration in Reinforcement Learning with Linear Representation

no code implementations • 2 Dec 2021 • Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta

We first consider the setting of linear-mixture MDPs (Ayoub et al., 2020) (a. k. a.\ model-based setting) and provide an unified framework for analyzing joint and local differential private (DP) exploration.

Privacy Preserving reinforcement-learning +1