Incorporating Domain Models into Bayesian Optimization for RL

Author:

Wilson Aaron,Fern Alan,Tadepalli Prasad

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Lizotte, D., Wang, T., Bowling, M., Schuurmans, D.: Automatic gait optimization with gaussian process regression. In: IJCAI’07: Proceedings of the 20th International Joint Conference on Artifical Intelligence, pp. 944–949. Morgan Kaufmann, San Francisco (2007)

2. Lizotte, D.: Practical Bayesian Optimization. PhD thesis, University of Alberta (2008)

3. Brochu, E., Cora, V., de Freitas, N.: A tutorial on bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. Technical Report TR-2009-023 (2009)

4. Engel, Y., Mannor, S., Meir, R.: Reinforcement learning with Gaussian processes. In: International Conference on Machine Learning, pp. 201–208 (2005)

5. Dearden, R., Friedman, N., Andre, D.: Model based Bayesian exploration. In: UAI (1999)

Cited by 6 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. Identification and diagnosis of cervical cancer using a hybrid feature selection approach with the bayesian optimization-based optimized catboost classification algorithm;Journal of Ambient Intelligence and Humanized Computing;2024-06-21

2. RL-Based Adaptive Controller for High Precision Reaching in a Soft Robot Arm;IEEE Transactions on Robotics;2024

3. Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups;Annual Review of Control, Robotics, and Autonomous Systems;2021-05-03

4. Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes;Artificial Intelligence;2019

5. Toward faster reinforcement learning for robotics applications by using Gaussian processes;XLIII ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration;2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3