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Journal of Intelligent Learning Systems and Applications
Submission
Journal of Intelligent Learning Systems and Applications
ISSN Print:
2150-8402
ISSN Online:
2150-8410
www.scirp.org/journal/jilsa
E-mail:
jilsa@scirp.org
Google-based Impact Factor:
2.33
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"
Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression
"
written by
Julio H. Zaragoza, Eduardo F. Morales
,
published by
Journal of Intelligent Learning Systems and Applications
,
Vol.2 No.2, 2010
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
Improving Reinforcement Learning Performance Using Continuous Action Spaces Applied to Dynamic Environments
NULL
NULL
[2]
Reinforcement Learning Agents that Discover Structured Representations
2023
[3]
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments
2020
[4]
APRENDIZAJE POR REFUERZO EN SISTEMAS ROBÓTICOS
2019
[5]
基于凸多面体抽象域的自适应强化学习技术研究
2018
[6]
Learning robotic manipulation tasks using relational reinforcement learning and human demonstrations
2018
[7]
Human Interaction for Effective Reinforcement Learning
LA León, AC Tenorio, EF Morales - ke.tu-darmstadt.de
,
2014
[8]
Cinta canela
BA Vargas-Govea - blancavargas.wordpress.com
,
2014
[9]
一种基于智能调度的可扩展并行强化学习方法
计算机研究与发展
,
2013
[10]
A parallel scheduling algorithm for reinforcement learning in large state space
Frontiers of Computer Science
,
2012
[11]
Solving relational and first-order logical markov decision processes: A survey
Reinforcement Learning
,
2012
[12]
An Introduction to Reinforcement Learning
Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions
,
2012
[13]
La Otra Clonación
NULL
2010
[14]
Editorial: Special Section on Reinforcement Learning and Approximate Dynamic Programming
Journal of Intelligent Learning Systems and Applications
,
2010
[15]
Special Section on Reinforcement Learning and Approximate Dynamic Programming.
2010
[1]
Decision Theory Models for Applications in Artificial Intelligence
2012
DOI:
10.4018/978-1-60960-165-2.ch004
[2]
A parallel scheduling algorithm for reinforcement learning in large state space
Frontiers of Computer Science
,
2012
DOI:
10.1007/s11704-012-1098-y
[3]
Reinforcement Learning
Adaptation, Learning, and Optimization
,
2012
DOI:
10.1007/978-3-642-27645-3_8
[4]
Reinforcement Learning
Adaptation, Learning, and Optimization
,
2012
DOI:
10.1007/978-3-642-27645-3_8
[5]
Editorial: Special Section on Reinforcement Learning and Approximate Dynamic Programming
Journal of Intelligent Learning Systems and Applications
,
2010
DOI:
10.4236/jilsa.2010.22008
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