default search action
Mridul Agarwal
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [j11]Mridul Agarwal, Vaneet Aggarwal:
Reinforcement Learning for Joint Optimization of Multiple Rewards. J. Mach. Learn. Res. 24: 49:1-49:41 (2023) - [c19]Subhash Chand Agrawal, Rajesh Kumar Tripathi, Jai Kishan, Mridul Agarwal:
Poze with Vogue. ICCCNT 2023: 1-6 - [c18]Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal:
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. ICML 2023: 11013-11049 - 2022
- [j10]Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari:
Reinforcement Learning for Mean-Field Game. Algorithms 15(3): 73 (2022) - [j9]Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal:
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms 15(7): 227 (2022) - [j8]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: 1565-1597 (2022) - [j7]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: 129:1-129:46 (2022) - [j6]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. 23: 212:1-212:24 (2022) - [j5]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. 2022 (2022) - [c17]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: 3682-3689 - [c16]Mridul Agarwal, Vaneet Aggarwal, Tian Lan:
Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS 2022: 9-17 - [c15]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI 2022: 22-31 - [c14]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: 1541-1551 - [i14]Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal:
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. CoRR abs/2211.07675 (2022) - 2021
- [j4]Md. Masudur Rahman
, Mythra V. Balakuntala, Glebys T. Gonzalez, Mridul Agarwal, Upinder Kaur
SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(4): 376-383 (2021) - [j3]Mridul Agarwal, Vaneet Aggarwal:
Blind decision making: Reinforcement learning with delayed observations. Pattern Recognit. Lett. 150: 176-182 (2021) - [j2]Mridul Agarwal, Vaneet Aggarwal
Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. Trans. Data Sci. 2(4): 38:1-38:39 (2021) - [c13]Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn:
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI 2021: 6557-6565 - [c12]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. ICAPS 2021: 2-6 - [c11]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT 2021: 306-339 - [c10]Glebys T. 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: 12693-12700 - [c9]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: 1236-1242 - [c8]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication efficient parallel reinforcement learning. UAI 2021: 247-256 - [i13]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR abs/2102.08462 (2021) - [i12]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication Efficient Parallel Reinforcement Learning. CoRR abs/2102.10740 (2021) - [i11]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR abs/2105.14125 (2021) - [i10]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Markov Decision Processes with Long-Term Average Constraints. CoRR abs/2106.06680 (2021) - [i9]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 abs/2109.04024 (2021) - [i8]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR abs/2109.05439 (2021) - [i7]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR abs/2109.06332 (2021) - 2020
- [c7]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS 2020: 1-6 - [i6]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR abs/2011.07687 (2020) - [i5]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. CoRR abs/2011.07715 (2020)
2010 – 2019
- 2019
- [c6]Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN 2019: 1-6 - [i4]Mridul Agarwal, Vaneet Aggarwal:
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. CoRR abs/1909.02940 (2019) - [i3]Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal:
Encoders and Decoders for Quantum Expander Codes Using Machine Learning. CoRR abs/1909.02945 (2019) - [i2]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR abs/1910.01277 (2019) - 2018
- [i1]Mridul Agarwal, Vaneet Aggarwal:
Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. CoRR abs/1811.11925 (2018) - 2012
- [c5]Akshara Rai, Prem Kumar Patchaikani, Mridul Agarwal, Rohit Gupta, Laxmidhar Behera
Grasping Region Identification in Novel Objects Using Microsoft Kinect. ICONIP (4) 2012: 172-179
2000 – 2009
- 2008
- [c4]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: 1-10 - 2007
- [c3]Subhasish Mitra, Mridul Agarwal:
Circuit failure prediction to overcome scaled CMOS reliability challenges. ITC 2007: 1-3 - [c2]Mridul Agarwal, Bipul C. Paul, Ming Zhang, Subhasish Mitra:
Circuit Failure Prediction and Its Application to Transistor Aging. VTS 2007: 277-286 - 2006
- [j1]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): 1273-1288 (2006) - 2005
- [c1]Mridul Agarwal, Kanak Agarwal, Dennis Sylvester, David T. Blaauw:
Statistical modeling of cross-coupling effects in VLSI interconnects. ASP-DAC 2005: 503-506
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: