Jalaj Bhandari

According to our database, Jalaj Bhandari authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Structure Enables Effective Self-Localization of Errors in LLMs.

Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi, Youliang Yu, Daniel Jiang, Boris Vidolov, Kaveh Hassani, Paul Sajda, Jalaj Bhandari, Yonathan Efroni

CoRR, February, 2026

2025

Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative PPO.

Daniel R. Jiang, Jalaj Bhandari, Yukai Yang, Rémi Munos, Tyler Lu

CoRR, November, 2025

A Note on Code Quality Score: LLMs for Maintainable Large Codebases.

Sherman Wong, Jalaj Bhandari, Leo Zhou Fan Yang, Xylan Xu, Yi Zhuang, Cem Cayiroglu, Payal Bhuptani, Sheela Yadawad, Hung Duong

CoRR, August, 2025

Aligned Multi Objective Optimization.

Yonathan Efroni, Ben Kertzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich

CoRR, February, 2025

Aligned Multi Objective Optimization.

Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

J. Mach. Learn. Res., 2024

Global Optimality Guarantees for Policy Gradient Methods.

Jalaj Bhandari, Daniel Russo

Oper. Res., 2024

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

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

2018

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

Jalaj Bhandari, Daniel Russo, Raghav Singal

Proceedings of the Conference On Learning Theory, 2018

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