Mridul Agarwal

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 38

Top Topics

Reinforcement Learning

Markov Decision Process

Global Convergence

Top Venues

J. Mach. Learn. Res.

Publications

Mridul Agarwal, Vaneet Aggarwal
Reinforcement Learning for Joint Optimization of Multiple Rewards. J. Mach. Learn. Res. 24 (2023)
Subhash Chand Agrawal, Rajesh Kumar Tripathi, Jai Kishan, Mridul Agarwal
Poze with Vogue. ICCCNT (2023)
Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. ICML (2023)
Mridul Agarwal, Vaneet Aggarwal, Tian Lan
Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS (2022)
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. 23 (2022)
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). J. Mach. Learn. Res. 23 (2022)
Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn
An explore-then-commit algorithm for submodular maximization under full-bandit feedback. UAI (2022)
Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari
Reinforcement Learning for Mean-Field Game. Algorithms 15 (3) (2022)
Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms 15 (7) (2022)
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. J. Artif. Intell. Res. 74 (2022)
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI (2022)
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. 2022 (2022)
Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI (2022)
Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. CoRR (2022)
Glebys Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs
DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. ICRA (2021)
Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR (2021)
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR (2021)
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR (2021)
Mridul Agarwal, Vaneet Aggarwal
Blind Decision Making: Reinforcement Learning with Delayed Observations. ICAPS (2021)
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
Communication Efficient Parallel Reinforcement Learning. CoRR (2021)
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
Communication efficient parallel reinforcement learning. UAI (2021)
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT (2021)
Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI (2021)
Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. RO-MAN (2021)
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR (2021)
Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn
-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. Trans. Data Sci. 2 (4) (2021)
Mridul Agarwal, Vaneet Aggarwal
Blind decision making: Reinforcement learning with delayed observations. Pattern Recognit. Lett. 150 (2021)
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
SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9 (4) (2021)
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
Markov Decision Processes with Long-Term Average Constraints. CoRR (2021)
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR (2021)
Mridul Agarwal, Vaneet Aggarwal
Blind Decision Making: Reinforcement Learning with Delayed Observations. CoRR (2020)
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR (2020)
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS (2020)
Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN (2019)
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR (2019)
Mridul Agarwal, Vaneet Aggarwal
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. CoRR (2019)
Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal
Encoders and Decoders for Quantum Expander Codes Using Machine Learning. CoRR (2019)
Mridul Agarwal, Vaneet Aggarwal
Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. CoRR (2018)
Akshara Rai, Prem Kumar Patchaikani, Mridul Agarwal, Rohit Gupta, Laxmidhar Behera
Grasping Region Identification in Novel Objects Using Microsoft Kinect. ICONIP (4) (2012)
Mridul Agarwal, Varsha Balakrishnan, Anshuman Bhuyan, Kyunglok Kim, Bipul C. Paul, Wenping Wang, Bo Yang, Yu Cao, Subhasish Mitra
Optimized Circuit Failure Prediction for Aging: Practicality and Promise. ITC (2008)
Subhasish Mitra, Mridul Agarwal
Circuit failure prediction to overcome scaled CMOS reliability challenges. ITC (2007)
Mridul Agarwal, Bipul C. Paul, Ming Zhang, Subhasish Mitra
Circuit Failure Prediction and Its Application to Transistor Aging. VTS (2007)
Kanak Agarwal, Mridul Agarwal, Dennis Sylvester, David T. Blaauw
Statistical interconnect metrics for physical-design optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25 (7) (2006)
Mridul Agarwal, Kanak Agarwal, Dennis Sylvester, David T. Blaauw
Statistical modeling of cross-coupling effects in VLSI interconnects. ASP-DAC (2005)