Mridul Agarwal

According to our database, Mridul Agarwal authored at least 36 papers between 2005 and 2023.

Collaborative distances:

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

2023

Reinforcement Learning for Joint Optimization of Multiple Rewards.

Mridul Agarwal, Vaneet Aggarwal

J. Mach. Learn. Res., 2023

On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization.

Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal

Proceedings of the International Conference on Machine Learning, 2023

Poze with Vogue.

Subhash Chand Agrawal, Rajesh Kumar Tripathi, Jai Kishan, Mridul Agarwal

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

Concave Utility Reinforcement Learning with Zero-Constraint Violations.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Trans. 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

Multi-Agent Multi-Armed Bandits with Limited Communication.

Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli

J. Mach. Learn. Res., 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

Learning-Based Online QoE Optimization in Multi-Agent Video Streaming.

Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal

Algorithms, 2022

Reinforcement Learning for Mean-Field Game.

Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari

Algorithms, 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

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Regret guarantees for model-based reinforcement learning with long-term average constraints.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Multi-Objective Reinforcement Learning with Non-Linear Scalarization.

Mridul Agarwal, Vaneet Aggarwal, Tian Lan

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach.

Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Stochastic Top <i>K</i>-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

Blind decision making: Reinforcement learning with delayed observations.

Mridul Agarwal, Vaneet Aggarwal

Pattern Recognit. Lett., 2021

Markov Decision Processes with Long-Term Average Constraints.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

CoRR, 2021

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

CoRR, 2021

SARTRES: a semi-autonomous robot teleoperation environment for surgery.

Md. Masudur Rahman, 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

Communication efficient parallel reinforcement learning.

Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery.

Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery.

Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback.

Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal

Proceedings of the Algorithmic Learning Theory, 2021

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits.

Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DART: aDaptive Accept RejecT for non-linear top-K subset identification.

Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal

CoRR, 2020

Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019

Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

CoRR, 2019

Encoders and Decoders for Quantum Expander Codes Using Machine Learning.

Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal

CoRR, 2019

A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making.

Mridul Agarwal, Vaneet Aggarwal

CoRR, 2019

Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation.

Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

2018

Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity.

Mridul Agarwal, Vaneet Aggarwal

CoRR, 2018

2012

Grasping Region Identification in Novel Objects Using Microsoft Kinect.

Akshara Rai, Prem Kumar Patchaikani, Mridul Agarwal, Rohit Gupta, Laxmidhar Behera

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2008

Optimized Circuit Failure Prediction for Aging: Practicality and Promise.

Mridul Agarwal, Varsha Balakrishnan, Anshuman Bhuyan, Kyunglok Kim, Bipul C. Paul, Wenping Wang, Bo Yang, Yu Cao, Subhasish Mitra

Proceedings of the 2008 IEEE International Test Conference, 2008

2007

Circuit Failure Prediction and Its Application to Transistor Aging.

Mridul Agarwal, Bipul C. Paul, Ming Zhang, Subhasish Mitra

Proceedings of the 25th IEEE VLSI Test Symposium (VTS 2007), 2007

Circuit failure prediction to overcome scaled CMOS reliability challenges.

Subhasish Mitra, Mridul Agarwal

Proceedings of the 2007 IEEE International Test Conference, 2007

2006

Statistical interconnect metrics for physical-design optimization.

Kanak Agarwal, Mridul Agarwal, Dennis Sylvester, David T. Blaauw

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006

2005

Statistical modeling of cross-coupling effects in VLSI interconnects.

Mridul Agarwal, Kanak Agarwal, Dennis Sylvester, David T. Blaauw

Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005