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Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity.

, , and . ALIFE, page 27-35. MIT Press, (2020)

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First return then explore., , , , and . CoRR, (2020)Quality Diversity through Human Feedback., , , , and . CoRR, (2023)Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics.. GECCO (Companion), page 1479-1486. ACM, (2017)Evolvability ES: scalable and direct optimization of evolvability., , , and . GECCO, page 107-115. ACM, (2019)Grasping novel objects with a dexterous robotic hand through neuroevolution., , , , and . CICA, page 125-132. IEEE, (2014)Reinforcement Learning Under Moral Uncertainty., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2926-2936. PMLR, (2021)Boosting Interactive Evolution Using Human Computation Markets., and . TPNC, volume 8273 of Lecture Notes in Computer Science, page 1-18. Springer, (2013)An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents., , , , , , , , , and 1 other author(s). IJCAI, page 3260-3267. ijcai.org, (2019)The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms., , , , , and . GPTP, page 177-201. Springer, (2023)Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization., , , , and . ICML, OpenReview.net, (2024)