Mridul Agarwal - researchr alias

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Viewing Publication 1 - 30 from 30

2023

Reinforcement Learning for Joint Optimization of Multiple RewardsMridul Agarwal, Vaneet Aggarwal. jmlr, 24, 2023. [doi]

Poze with VogueSubhash Chand Agrawal, Rajesh Kumar Tripathi, Jai Kishan, Mridul Agarwal. icccnt 2023: 1-6 [doi]

On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network ParametrizationMudit Gaur, Vaneet Aggarwal, Mridul Agarwal. icml 2023: 11013-11049 [doi]

2022

Regret guarantees for model-based reinforcement learning with long-term average constraintsMridul Agarwal, Qinbo Bai, Vaneet Aggarwal. uai 2022: 22-31 [doi]

Reinforcement Learning for Mean-Field GameMridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari. algorithms, 15(3):73, 2022. [doi]

Concave Utility Reinforcement Learning with Zero-Constraint ViolationsMridul Agarwal, Qinbo Bai, Vaneet Aggarwal. tmlr, 2022, 2022. [doi]

Multi-Agent Multi-Armed Bandits with Limited CommunicationMridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli. jmlr, 23, 2022. [doi]

Multi-Objective Reinforcement Learning with Non-Linear ScalarizationMridul Agarwal, Vaneet Aggarwal, Tian Lan. atal 2022: 9-17 [doi]

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual ApproachQinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal. AAAI 2022: 3682-3689 [doi]

Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based AlgorithmQinbo Bai, Mridul Agarwal, Vaneet Aggarwal. jair, 74:1565-1597, 2022. [doi]

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. jmlr, 23, 2022. [doi]

An explore-then-commit algorithm for submodular maximization under full-bandit feedbackGuanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn. uai 2022: 1541-1551 [doi]

Learning-Based Online QoE Optimization in Multi-Agent Video StreamingYimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal. algorithms, 15(7):227, 2022. [doi]

2021

Blind Decision Making: Reinforcement Learning with Delayed ObservationsMridul Agarwal, Vaneet Aggarwal. aips 2021: 2-6 [doi]

Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic SurgeryMridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs. ro-man 2021: 1236-1242 [doi]

Communication efficient parallel reinforcement learningMridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal. uai 2021: 247-256 [doi]

Stochastic Top-K Subset Bandits with Linear Space and Non-Linear FeedbackMridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal. alt 2021: 306-339 [doi]

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial BanditsMridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn. AAAI 2021: 6557-6565 [doi]

Blind decision making: Reinforcement learning with delayed observationsMridul Agarwal, Vaneet Aggarwal. prl, 150:176-182, 2021. [doi]

K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence MaximizationMridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn. tdasci, 2(4), 2021. [doi]

DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for SurgeryGlebys Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs. icra 2021: 12693-12700 [doi]

SARTRES: a semi-autonomous robot teleoperation environment for surgeryMd. 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. cmbbeiv, 9(4):376-383, 2021. [doi]

2020

Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient DescentQinbo Bai, Mridul Agarwal, Vaneet Aggarwal. ciss 2020: 1-6 [doi]

2019

Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous TeleoperationMd. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs. ro-man 2019: 1-6 [doi]

2012

Grasping Region Identification in Novel Objects Using Microsoft KinectAkshara Rai, Prem Kumar Patchaikani, Mridul Agarwal, Rohit Gupta, Laxmidhar Behera. iconip 2012: 172-179 [doi]

2008

Optimized Circuit Failure Prediction for Aging: Practicality and PromiseMridul Agarwal, Varsha Balakrishnan, Anshuman Bhuyan, Kyunglok Kim, Bipul C. Paul, Wenping Wang, Bo Yang, Yu Cao, Subhasish Mitra. itc 2008: 1-10 [doi]

2007

Circuit Failure Prediction and Its Application to Transistor AgingMridul Agarwal, Bipul C. Paul, Ming Zhang, Subhasish Mitra. vts 2007: 277-286 [doi]

Circuit failure prediction to overcome scaled CMOS reliability challengesSubhasish Mitra, Mridul Agarwal. itc 2007: 1-3 [doi]

2006

Statistical interconnect metrics for physical-design optimizationKanak Agarwal, Mridul Agarwal, Dennis Sylvester, David Blaauw. tcad, 25(7):1273-1288, 2006. [doi]

2005

Statistical modeling of cross-coupling effects in VLSI interconnectsMridul Agarwal, Kanak Agarwal, Dennis Sylvester, David Blaauw. aspdac 2005: 503-506 [doi]

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