Parallel reinforcement learning algorithm and its application

By Han Xue-don. 2009

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Karl Tuyls
2. Gerhard Weiss
3. Craig Boutilier
4. Daan Bloembergen
5. Gerhard Weiß
6. Sven Gronauer
7. Pablo Hernandez-Leal
8. Sandip Sen

Citations in the corpus

• Multiagent Learning: Basics, Challenges, and Prospects (2012, background): “Representative examples of current research on multiplied and divided learning are Meng and Han (2009) and Chakraborty and Stone (2010), respectively.”