A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning
By Xin Xu, Zhenhua Huang, Daniel Graves, Witold Pedrycz. 2014
38 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yashesh D. Dhebar
- Subramanya P. Nageshrao
- Kalyanmoy Deb
- Dimitar Filev
- Ling Zhu
- Yaochu Jin
- Carlos Artemio Coello Coello
- Ran Cheng
In Computational Theory and Mathematics
- Yashesh D. Dhebar
- Kalyanmoy Deb
- Dimitar Filev
- Ling Zhu
- Subramanya P. Nageshrao
- Yaochu Jin
- Carlos Artemio Coello Coello
- Ran Cheng
Citations in the corpus
- Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems (2020, background): “In the RL literature, this mapping is referred to as policy , and sufficient literature exists in efficient training of these RL policies [1]–[7].”