Diversity policy gradient for sample efficient quality-diversity optimization-Reference-Cited by-同舟云学术

Diversity policy gradient for sample efficient quality-diversity optimization

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Pierrot Thomas¹,Macé Valentin¹,Chalumeau Felix¹,Flajolet Arthur¹,Cideron Geoffrey¹,Beguir Karim²,Cully Antoine³,Sigaud Olivier⁴,Perrin-Gilbert Nicolas⁴

Affiliation:

1. InstaDeep, Paris, France

2. InstaDeep, London, United Kingdom

3. Imperial College London, London, United Kingdom

4. Sorbonne Université, Paris, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528845

Reference46 articles.

1. Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites

2. Greg Brockman , Vicki Cheung , Ludwig Pettersson , Jonas Schneider , John Schulman , Jie Tang , and Wojciech Zaremba . 2016. Openai gym. arXiv preprint arXiv:1606.01540 ( 2016 ). Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. Openai gym. arXiv preprint arXiv:1606.01540 (2016).

3. Yuri Burda , Harrison Edwards , Amos Storkey , and Oleg Klimov . 2018. Exploration by random network distillation. arXiv preprint arXiv:1810.12894 ( 2018 ). Yuri Burda, Harrison Edwards, Amos Storkey, and Oleg Klimov. 2018. Exploration by random network distillation. arXiv preprint arXiv:1810.12894 (2018).

4. Leo Cazenille , Nicolas Bredeche , and Nathanael Aubert-Kato . 2019. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. arXiv preprint arXiv:1910.00230 ( 2019 ). Leo Cazenille, Nicolas Bredeche, and Nathanael Aubert-Kato. 2019. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. arXiv preprint arXiv:1910.00230 (2019).

5. Scaling MAP-Elites to deep neuroevolution

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