First return, then explore-Reference-Cited by-同舟云学术

First return, then explore

Published:2021-02-24 Issue:7847 Volume:590 Page:580-586
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Ecoffet Adrien^ORCID,Huizinga Joost^ORCID,Lehman Joel,Stanley Kenneth O.,Clune Jeff

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41586-020-03157-9.pdf

Reference68 articles.

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2. Lehman, J. & Stanley, K. O. Novelty search and the problem with objectives. In Genetic Programming Theory and Practice IX (eds Riolo, R. et al.) 37–56 (2011).

3. Silver, D. et al. Mastering the game of Go without human knowledge. Nature 550, 354–359 (2017).

4. Vinyals, O. et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature 575, 350–354 (2019).

5. Open AI. Dota 2 with large-scale deep reinforcement learning. Preprint at https://arxiv.org/abs/1912.06680 (2019).

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