Scaling MAP-Elites to deep neuroevolution-Reference-Cited by-同舟云学术

Scaling MAP-Elites to deep neuroevolution

Published:2020-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Colas Cédric¹,Madhavan Vashisht²,Huizinga Joost³,Clune Jeff⁴

Affiliation:

1. INRIA

2. Element Inc.

3. Uber AI Labs

4. OpenAI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3390217

Reference52 articles.

1. Active learning of inverse models with intrinsically motivated goal exploration in robots

2. Marc Bellemare Sriram Srinivasan Georg Ostrovski Tom Schaul David Saxton and Remi Munos. 2016. Unifying count-based exploration and intrinsic motivation. In Advances in neural information processing systems. 1471--1479. Marc Bellemare Sriram Srinivasan Georg Ostrovski Tom Schaul David Saxton and Remi Munos. 2016. Unifying count-based exploration and intrinsic motivation. In Advances in neural information processing systems. 1471--1479.

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Informed Diversity Search for Learning in Asymmetric Multiagent Systems;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. Enhancing MAP-Elites with Multiple Parallel Evolution Strategies;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. Quality with Just Enough Diversity in Evolutionary Policy Search;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

4. Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments;ACM Transactions on Evolutionary Learning and Optimization;2024-05-17

5. Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing;IEEE Robotics and Automation Letters;2023-10