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.

PARTICIPATION ENQUIRY

Participation enquiry

Your enquiry will be delivered by email. We will reply to the address you provide.

Email enquiries: contact@autoaisafety.org