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The Wasserstein entropic value-at-risk reveals hidden catastrophic risks that traditional measures overlook, adapting agent behavior dynamically as confidence grows.
RATTL allows agents to dynamically balance caution and reward maximization, adapting their decision-making as they learn about their environment.
