Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations

Dominik Baumann, Erfaun Noorani, James Price +3

Envisioned application areas for reinforcement learning (RL) include autonomous driving, precision agriculture, and finance, which all require RL agents to make decisions in the re…