Near-Optimal Regret Bounds for Thompson Sampling

By Shipra Agrawal, Navin Goyal. 2017

200 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Management Science and Operations Research

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. Brendan O'Donoghue
2. Sergey Levine
3. Ian Osband

In Computational Mechanics

1. Brendan O'Donoghue
2. Stephen P. Boyd
3. Wotao Yin

In Management Science and Operations Research

1. Brendan O'Donoghue
2. Ian Osband

Citations in the corpus

• Variational Bayesian Reinforcement Learning with Regret Bounds (2018, background): “It can be shown that this strategy yields both Bayesian and frequentist regret bounds under certain assumptions [3].”