Evolutionary Computation for Reinforcement Learning-Reference-Cited by-同舟云学术

Evolutionary Computation for Reinforcement Learning

Published:2012 Issue: Volume: Page:325-355
ISSN:1867-4534
Container-title:Adaptation, Learning, and Optimization
language:
Short-container-title:

Author:

Whiteson Shimon

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-27645-3_10

Reference145 articles.

1. Ackley, D., Littman, M.: Interactions between learning and evolution. Artificial Life II, SFI Studies in the Sciences of Complexity 10, 487–509 (1991)

2. Agogino, A.K., Tumer, K.: Efficient evaluation functions for evolving coordination. Evolutionary Computation 16(2), 257–288 (2008)

3. Arita, T., Suzuki, R.: Interactions between learning and evolution: The outstanding strategy generated by the Baldwin Effect. Artificial Life 7, 196–205 (2000)

4. Baldwin, J.M.: A new factor in evolution. The American Naturalist 30, 441–451 (1896)

5. Boers, E., Borst, M., Sprinkhuizen-Kuyper, I.: Evolving Artificial Neural Networks using the “Baldwin Effect”. In: Proceedings of the International Conference Artificial Neural Nets and Genetic Algorithms in Ales, France (1995)

Cited by 23 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. Co-Evolving Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation;IEEE Access;2024

2. Novelty Search for Neuroevolutionary Reinforcement Learning of Deceptive Systems: An Application to Control of Colloidal Self-assembly;2023 American Control Conference (ACC);2023-05-31

3. Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning;Intelligent Systems with Applications;2023-05

4. Promoting Transfer of Robot Neuro-Motion-Controllers by Many-Objective Topology and Weight Evolution;IEEE Transactions on Evolutionary Computation;2023-04

5. Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding;Communications in Computer and Information Science;2023