Hiteshi Sharma

According to our database, Hiteshi Sharma authored at least 15 papers between 2014 and 2023.

Collaborative distances:

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

2023

Language Models can be Logical Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

CoRR, 2023

ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning.

Hosein Hasanbeig, Hiteshi Sharma, Leo Betthauser, Felipe Vieira Frujeri, Ida Momennejad

CoRR, 2023

Fine-Tuning Language Models with Advantage-Induced Policy Alignment.

Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao

CoRR, 2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs.

William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu

IEEE Trans. Autom. Control., 2020

Randomized Policy Learning for Continuous State and Action MDPs.

Hiteshi Sharma, Rahul Jain

CoRR, 2020

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes.

Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain

Proceedings of the 37th International Conference on Machine Learning, 2020

Finite Time Guarantees for Continuous State MDPs with Generative Model.

Hiteshi Sharma, Rahul Jain

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Approximate Relative Value Learning for Average-reward Continuous State MDPs.

Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space.

Hiteshi Sharma, Rahul Jain, Abhishek K. Gupta

Proceedings of the 17th European Control Conference, 2019

Empirical Algorithms for General Stochastic Systems with Continuous States and Actions.

Hiteshi Sharma, Rahul Jain, William B. Haskell

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions.

Hiteshi Sharma, Rahul Jain

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2017

Randomized function fitting-based empirical value iteration.

William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

A dynamical systems framework for stochastic iterative optimization.

William B. Haskell, Rahul Jain, Hiteshi Sharma

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2014

Optimal Spectrum Sensing for Cognitive Radio with Imperfect Detector.

Hiteshi Sharma, Aaqib Patel, S. N. Merchant, Uday B. Desai

Proceedings of the IEEE 79th Vehicular Technology Conference, 2014