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Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds.. GECCO (Companion), стр. 237-244. ACM, (2012)Investigating the impact of adaptation sampling in natural evolution strategies on black-box optimization testbeds.. GECCO (Companion), стр. 221-228. ACM, (2012)Benchmarking natural evolution strategies with adaptation sampling on the noiseless and noisy black-box optimization testbeds.. GECCO (Companion), стр. 229-236. ACM, (2012)Dueling Network Architectures for Deep Reinforcement Learning., , , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1995-2003. JMLR.org, (2016)Reinforcement Learning with Unsupervised Auxiliary Tasks., , , , , , и . CoRR, (2016)Dueling Network Architectures for Deep Reinforcement Learning, , , , , и . (2015)cite arxiv:1511.06581Comment: 15 pages, 5 figures, and 5 tables.Prioritized Experience Replay, , , и . (2015)cite arxiv:1511.05952Comment: Published at ICLR 2016.Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017., , , , , , , , , и 9 other автор(ы). CoRR, (2017)Discovering Evolution Strategies via Meta-Black-Box Optimization., , , , , , , и . CoRR, (2022)Natural Value Approximators: Learning when to Trust Past Estimates., , , , , и . NIPS, стр. 2120-2128. (2017)