On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. - Mudit Gaur; Vaneet Aggarwal; Mridul Agarwal (ICML, 2023)

On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization. - Mudit Gaur; Amrit Singh Bedi; Di Wang 015; Vaneet Aggarwal (CoRR, 2023)

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. - Mudit Gaur; Amrit S. Bedi; Di Wang 015; Vaneet Aggarwal (ICML, 2024)

On The Sample Complexity Bounds In Bilevel Reinforcement Learning. - Mudit Gaur; Amrit Singh Bedi; Raghu Pasupathu; Vaneet Aggarwal (CoRR, 2025)

Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access. - Mudit Gaur; Prashant Trivedi; Sasidhar Kunapuli; Amrit Singh Bedi; Vaneet Aggarwal (CoRR, 2025)