Priyank Agrawal

According to our database, Priyank Agrawal authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A tractable online learning algorithm for the multinomial logit contextual bandit.

Priyank Agrawal, Theja Tulabandhula, Vashist Avadhanula

Eur. J. Oper. Res., October, 2023

2022

Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location.

Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

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

Priyank Agrawal, Jinglin Chen, Nan Jiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit.

Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula

CoRR, 2020

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

Priyank Agrawal, Theja Tulabandhula

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Incentivising Exploration and Recommendations for Contextual Bandits with Payments.

Priyank Agrawal, Theja Tulabandhula

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020

2018

Bandits with Temporal Stochastic Constraints.

Priyank Agrawal, Theja Tulabandhula

CoRR, 2018