Technical articles · 2022.04.28
OOD detection for reinforcement learning
Maschinelles Lernen – Out-of-Distribution Detection für Reinforcement Learning
Overview
Explains why visual novelty and an RL agent’s ability to handle a situation need separate consideration. A block-stacking example illustrates limitations of treating every new input as dangerous and motivates scenario-level OOD definitions alongside assessment of generalization and capability.