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Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning., , , , , and . CoRR, (2022)QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration., , , , , , , , , and . CoRR, (2023)Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms., , and . CoRR, (2023)Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies., , and . CoRR, (2023)Quality-Diversity Optimization., , and . GECCO Companion, page 913-937. ACM, (2023)Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning., , and . GECCO, page 1212-1220. ACM, (2023)Learning to walk autonomously via reset-free quality-diversity., , and . GECCO, page 86-94. ACM, (2022)Quality-diversity optimisation., , and . GECCO Companion, page 715-739. ACM, (2021)Hierarchical quality-diversity for online damage recovery., , , and . GECCO, page 58-67. ACM, (2022)Learning to Walk in Every Direction with the TBR-Learning algorithm., and . ALIFE, page 146-147. MIT Press, (2014)