Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Priyank Agrawal

Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit


Nov 28, 2020
Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula

* 25 pages 

  Access Paper or Ask Questions

Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration


Oct 23, 2020
Priyank Agrawal, Jinglin Chen, Nan Jiang

* 36 pages 

  Access Paper or Ask Questions

Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect


Jun 18, 2020
Priyank Agrawal, Theja Tulabandhula

* Appears in the 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) 

  Access Paper or Ask Questions

Incentivising Exploration and Recommendations for Contextual Bandits with Payments


Jan 22, 2020
Priyank Agrawal, Theja Tulabandhula

* 11 pages, 4 figures 

  Access Paper or Ask Questions

Bandits with Temporal Stochastic Constraints


Nov 22, 2018
Priyank Agrawal, Theja Tulabandhula


  Access Paper or Ask Questions