Detecting Model Drifts in Non-Stationary Environment Using Edit Operation Measures

Chang-Hwan Lee, Alexander Shim

Reinforcement learning (RL) agents typically assume stationary environment dynamics. Yet in real-world applications such as healthcare, robotics, and finance, transition probabilit…