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IEEE

A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments

Abstract: Despite substantial progress in deep reinforcement learning (DRL), a systematic characterization of DRL agents’ robustness to unexpected events in the environment is relatively understudied.