Multi‐Armed Bandits, Gittins Index, and its Calculation
By Jhelum Chakravorty, Aditya Mahajan. 2014
98 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Game & Decision Theory
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
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Yoshua Bengio
- Ruslan Salakhutdinov
- Yuxi Li
- Trevor Darrell
- Quoc V. Le
In Computer Networks and Communications
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Tor Lattimore
- Csaba Szepesvari
- Yan Duan
- Peter L. Bartlett
- Xi Chen
In Management Science and Operations Research
- Pieter Abbeel
- Csaba Szepesvari
- Tor Lattimore
- Sergey Levine
- John Schulman
- Ilya Sutskever
- Xi Chen
- R´emi Munos
In Game & Decision Theory
- Yan Duan
- Pieter Abbeel
- Ilya Sutskever
- Peter L. Bartlett
- Tor Lattimore
- Csaba Szepesvari
- Xi Chen
- John Schulman
Citations in the corpus
- RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning (2016, methodology): “We follow the practical approximations described in Gittins et al. (2011), Chakravorty & Mahajan (2013), and Whittle (1982), and choose the best-performing approximation for each setup.”
- Bandit Algorithms (2020, methodology): “A nice survey is by Chakravorty and Mahajan [2014], but see also the articles by Chen and Katehakis [1986], Kallenberg [1986], Sonin [2008], Niño-Mora [2011], Chakravorty and Mahajan [2013].”