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2020 – today
- 2024
[c5]Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR 2024- [i7]Priyank Agrawal, Shipra Agrawal:
Optimistic Q-learning for average reward and episodic reinforcement learning. CoRR abs/2407.13743 (2024) - 2023
- [j1]Priyank Agrawal
, Theja Tulabandhula, Vashist Avadhanula:
A tractable online learning algorithm for the multinomial logit contextual bandit. Eur. J. Oper. Res. 310(2): 737-750 (2023) - 2022
- [c4]Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan:
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location. EC 2022: 497-528 - [i6]Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan:
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location. CoRR abs/2204.01120 (2022) - 2021
- [c3]Priyank Agrawal, Jinglin Chen, Nan Jiang:
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. AAAI 2021: 6566-6573 - 2020
- [c2]Priyank Agrawal, Theja Tulabandhula:
Incentivising Exploration and Recommendations for Contextual Bandits with Payments. EUMAS/AT 2020: 159-170 - [c1]Priyank Agrawal, Theja Tulabandhula:
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. UAI 2020: 470-479 - [i5]Priyank Agrawal, Theja Tulabandhula:
Incentivising Exploration and Recommendations for Contextual Bandits with Payments. CoRR abs/2001.07853 (2020) - [i4]Priyank Agrawal, Theja Tulabandhula:
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. CoRR abs/2006.10356 (2020) - [i3]Priyank Agrawal, Jinglin Chen, Nan Jiang:
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. CoRR abs/2010.12163 (2020) - [i2]Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula:
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. CoRR abs/2011.14033 (2020)
2010 – 2019
- 2018
- [i1]Priyank Agrawal, Theja Tulabandhula:
Bandits with Temporal Stochastic Constraints. CoRR abs/1811.09026 (2018)
Coauthor Index
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