A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning

By Shingo Mabu, Kotaro Hirasawa, Jinglu Hu. Evolutionary Computation, 2007

329 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/b2fe0a49c27225fd3ae0515c547955295df2aae7

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

1. Sanja Fidler
2. Renjie Liao
3. Sergey Levine
4. Mohit Bansal
5. Raquel Urtasun
6. Jimmy Ba
7. Tingwu Wang
8. Jianfeng Gao

Citations in the corpus

• NerveNet: Learning Structured Policy with Graph Neural Networks (2018, background): “In Metzen (2013); Mabu et al. (2007); Shoeleh & Asadpour (2017); Mahadevan & Maggioni (2007), the authors use graphs to learn a representation of the environment.”