Jalaj Bhandari

According to our database, Jalaj Bhandari authored at least 10 papers between 2016 and 2023.

Collaborative distances:

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

2023

Pearl: A Production-ready Reinforcement Learning Agent.

Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu

CoRR, 2023

Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning.

Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2021

A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation.

Jalaj Bhandari, Daniel Russo, Raghav Singal

Oper. Res., 2021

On the Linear Convergence of Policy Gradient Methods for Finite MDPs.

Jalaj Bhandari, Daniel Russo

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Optimization Foundations of Reinforcement Learning.

Jalaj Bhandari

PhD thesis, 2020

A Note on the Linear Convergence of Policy Gradient Methods.

Jalaj Bhandari, Daniel Russo

CoRR, 2020

2019

Global Optimality Guarantees For Policy Gradient Methods.

Jalaj Bhandari, Daniel Russo

CoRR, 2019

2017

Annular Augmentation Sampling.

Francois Fagan, Jalaj Bhandari, John P. Cunningham

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

On the tightness of an LP relaxation for rational optimization and its applications.

Vashist Avadhanula, Jalaj Bhandari, Vineet Goyal, Assaf Zeevi

Oper. Res. Lett., 2016

Elliptical Slice Sampling with Expectation Propagation.

Francois Fagan, Jalaj Bhandari, John P. Cunningham

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016