An exploration strategy for non-stationary opponents

By Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote. 2017

12 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

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. Matthew Riemer
2. Irina Rish
3. Khimya Khetarpal
4. Pablo Hernandez-Leal
5. Doina Precup
6. Michael Kaisers
7. Tim Baarslag
8. Enrique Munoz de Cote

In Biomedical Engineering

1. Doina Precup

Citations in the corpus

• Towards Continual Reinforcement Learning: A Review and Perspectives (2020, background): “Bayesian RL: On the other hand, a more ambitious approach would be to try to learn a belief of the unobserved task state directly from the history of environment interactions (Li et al., 2009; Hernandez-Leal et al., 2017; Majeed and Hutter, 2018).”
• A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity (2017, methodology): “However, some multiagent learning algorithms works have drawn inspiration from concept drift (Hernandez-Leal et al., 2017a).”