Optimal Spectrum Sensing for Cognitive Radio with Imperfect Detector. - Hiteshi Sharma; Aaqib Patel; S. N. Merchant; Uday B. Desai (VTC Spring, 2014)

A dynamical systems framework for stochastic iterative optimization. - William B. Haskell 001; Rahul Jain 002; Hiteshi Sharma (CDC, 2016)

Randomized function fitting-based empirical value iteration. - William B. Haskell 001; Pengqian Yu; Hiteshi Sharma; Rahul Jain 002 (CDC, 2017)

An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. - Hiteshi Sharma; Rahul Jain 002 (Allerton, 2019)

Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. - Hiteshi Sharma; Rahul Jain 002; William B. Haskell 001 (CDC, 2019)

An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space. - Hiteshi Sharma; Rahul Jain 002; Abhishek K. Gupta (ECC, 2019)

Approximate Relative Value Learning for Average-reward Continuous State MDPs. - Hiteshi Sharma; Mehdi Jafarnia-Jahromi; Rahul Jain 002 (UAI, 2019)

Finite Time Guarantees for Continuous State MDPs with Generative Model. - Hiteshi Sharma; Rahul Jain 002 (CDC, 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 002 (ICML, 2020)

Randomized Policy Learning for Continuous State and Action MDPs. - Hiteshi Sharma; Rahul Jain 002 (CoRR, 2020)

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. - William B. Haskell 001; Rahul Jain 002; Hiteshi Sharma; Pengqian Yu (IEEE Trans. Autom. Control., 2020)

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 (NeurIPS, 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)

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)

Language Models can be Logical Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (CoRR, 2023)

Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing. - Baihe Huang; Hiteshi Sharma; Yi Mao (EMNLP, 2024)

Language Models can be Deductive Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (NAACL-HLT (Findings), 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Ziyi Yang; Shuohang Wang; Hany Hassan; Zhaoran Wang 001 (CoRR, 2024)

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. - Yifang Chen 001; Shuohang Wang; Ziyi Yang; Hiteshi Sharma; Nikos Karampatziakis; Donghan Yu; Kevin G. Jamieson; Simon Shaolei Du; Yelong Shen (CoRR, 2024)

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle. - Emman Haider; Daniel Perez-Becker; Thomas Portet; Piyush Madan; Amit Garg; David Majercak; Wen Wen; Dongwoo Kim 006; Ziyi Yang; Jianwen Zhang; Hiteshi Sharma; Blake Bullwinkel; et al. (CoRR, 2024)

Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning. - Nabil Omi; Hosein Hasanbeig; Hiteshi Sharma; Sriram K. Rajamani; Siddhartha Sen 001 (CoRR, 2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Han Zhong 001; Zhihan Liu; Ziyi Yang; Shuohang Wang; Hany Hassan Awadalla; Zhaoran Wang 001 (Trans. Mach. Learn. Res., 2025)