Statistical modeling of cross-coupling effects in VLSI interconnects. - Mridul Agarwal; Kanak Agarwal 001; Dennis Sylvester; David T. Blaauw (ASP-DAC, 2005)

Statistical interconnect metrics for physical-design optimization. - Kanak Agarwal 001; Mridul Agarwal; Dennis Sylvester; David T. Blaauw (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

Circuit failure prediction to overcome scaled CMOS reliability challenges. - Subhasish Mitra; Mridul Agarwal (ITC, 2007)

Circuit Failure Prediction and Its Application to Transistor Aging. - Mridul Agarwal; Bipul C. Paul; Ming Zhang; Subhasish Mitra (VTS, 2007)

Optimized Circuit Failure Prediction for Aging: Practicality and Promise. - Mridul Agarwal; Varsha Balakrishnan; Anshuman Bhuyan; Kyunglok Kim; Bipul C. Paul; Wenping Wang 004; Bo Yang; Yu Cao 001; Subhasish Mitra (ITC, 2008)

Grasping Region Identification in Novel Objects Using Microsoft Kinect. - Akshara Rai; Prem Kumar Patchaikani; Mridul Agarwal; Rohit Gupta; Laxmidhar Behera (ICONIP (4), 2012)

Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. - Mridul Agarwal; Vaneet Aggarwal (CoRR, 2018)

Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. - Md. Masudur Rahman 001; Natalia Sanchez-Tamayo; Glebys T. Gonzalez; Mridul Agarwal; Vaneet Aggarwal; Richard M. Voyles; Yexiang Xue; Juan P. Wachs (RO-MAN, 2019)

A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. - Mridul Agarwal; Vaneet Aggarwal (CoRR, 2019)

Encoders and Decoders for Quantum Expander Codes Using Machine Learning. - Sathwik Chadaga; Mridul Agarwal; Vaneet Aggarwal (CoRR, 2019)

Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. - Qinbo Bai; Mridul Agarwal; Vaneet Aggarwal (CoRR, 2019)

Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. - Qinbo Bai; Mridul Agarwal; Vaneet Aggarwal (CISS, 2020)

DART: aDaptive Accept RejecT for non-linear top-K subset identification. - Mridul Agarwal; Vaneet Aggarwal; Christopher J. Quinn; Abhishek K. Umrawal (CoRR, 2020)

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. - Mridul Agarwal; Vaneet Aggarwal; Abhishek Kumar Umrawal; Christopher J. Quinn (AAAI, 2021)

Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. - Mridul Agarwal; Vaneet Aggarwal; Christopher J. Quinn; Abhishek K. Umrawal (ALT, 2021)

DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. - Glebys T. Gonzalez; Mridul Agarwal; Mythra V. Balakuntala; Md. Masudur Rahman 001; Upinder Kaur; Richard M. Voyles; Vaneet Aggarwal; Yexiang Xue; Juan P. Wachs (ICRA, 2021)

Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. - Mridul Agarwal; Glebys T. Gonzalez; Mythra V. Balakuntala; Md. Masudur Rahman 001; Vaneet Aggarwal; Richard M. Voyles; Yexiang Xue; Juan P. Wachs (RO-MAN, 2021)

Communication efficient parallel reinforcement learning. - Mridul Agarwal; Bhargav Ganguly; Vaneet Aggarwal (UAI, 2021)

SARTRES: a semi-autonomous robot teleoperation environment for surgery. - Md. Masudur Rahman 001; Mythra V. Balakuntala; Glebys T. Gonzalez; Mridul Agarwal; Upinder Kaur; Vishnunandan L. N. Venkatesh; Natalia Sanchez-Tamayo; Yexiang Xue; Richard M. Voyles; Vaneet Aggarwal; Juan P. Wachs (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. - Qinbo Bai; Mridul Agarwal; Vaneet Aggarwal (CoRR, 2021)

Markov Decision Processes with Long-Term Average Constraints. - Mridul Agarwal; Qinbo Bai; Vaneet Aggarwal (CoRR, 2021)

Blind decision making: Reinforcement learning with delayed observations. - Mridul Agarwal; Vaneet Aggarwal (Pattern Recognit. Lett., 2021)

Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. - Mridul Agarwal; Vaneet Aggarwal; Abhishek K. Umrawal; Christopher J. Quinn (Trans. Data Sci., 2021)

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. - Qinbo Bai; Amrit Singh Bedi; Mridul Agarwal; Alec Koppel; Vaneet Aggarwal (AAAI, 2022)

Multi-Objective Reinforcement Learning with Non-Linear Scalarization. - Mridul Agarwal; Vaneet Aggarwal; Tian Lan 001 (AAMAS, 2022)

Regret guarantees for model-based reinforcement learning with long-term average constraints. - Mridul Agarwal; Qinbo Bai; Vaneet Aggarwal (UAI, 2022)

An explore-then-commit algorithm for submodular maximization under full-bandit feedback. - Guanyu Nie; Mridul Agarwal; Abhishek Kumar Umrawal; Vaneet Aggarwal; Christopher John Quinn (UAI, 2022)

Reinforcement Learning for Mean-Field Game. - Mridul Agarwal; Vaneet Aggarwal; Arnob Ghosh; Nilay Tiwari (Algorithms, 2022)

Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. - Yimeng Wang; Mridul Agarwal; Tian Lan 001; Vaneet Aggarwal (Algorithms, 2022)

Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. - Qinbo Bai; Mridul Agarwal; Vaneet Aggarwal (J. Artif. Intell. Res., 2022)

Multi-Agent Multi-Armed Bandits with Limited Communication. - Mridul Agarwal; Vaneet Aggarwal; Kamyar Azizzadenesheli (J. Mach. Learn. Res., 2022)

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). - Washim Uddin Mondal; Mridul Agarwal; Vaneet Aggarwal; Satish V. Ukkusuri (J. Mach. Learn. Res., 2022)

Concave Utility Reinforcement Learning with Zero-Constraint Violations. - Mridul Agarwal; Qinbo Bai; Vaneet Aggarwal (Trans. Mach. Learn. Res., 2022)

Poze with Vogue. - Subhash Chand Agrawal; Rajesh Kumar Tripathi; Jai Kishan; Mridul Agarwal (ICCCNT, 2023)

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

Reinforcement Learning for Joint Optimization of Multiple Rewards. - Mridul Agarwal; Vaneet Aggarwal (J. Mach. Learn. Res., 2023)