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Instead of just preventing harmful actions by LM agents, we can now steer them back from the brink using human-aligned recovery plans, significantly improving safety after a mistake.
Users prefer robots that learn their preferences using CMA-ES-IG because it suggests more perceptually distinct and informative behaviors to rank.
