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ORCIDT. W. U. Madhushani
2020 – today
- 2025
[j3]Sumitra Ganesh, Leo Ardon, Daniel Borrajo, Deepeka Garg, Udari Madhushani Sehwag, Annapoorani Lakshmi Narayanan, Giuseppe Canonaco, Manuela M. Veloso:
Generative AI Agents for Knowledge Work Augmentation in Finance. Annu. Rev. Control. Robotics Auton. Syst. 8(1): 189-210 (2025)- [c17]Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh:
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. ICLR 2025 - [c16]Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal:
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. ICLR 2025 - [c15]Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh:
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. ICLR 2025 - [i22]Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh:
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. CoRR abs/2503.21720 (2025) - 2024
- [i21]Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh:
A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis. CoRR abs/2402.17932 (2024) - [i20]Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su
, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal:
AI Risk Management Should Incorporate Both Safety and Security. CoRR abs/2405.19524 (2024) - [i19]Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal:
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR abs/2406.14598 (2024) - [i18]Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh:
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. CoRR abs/2410.08193 (2024) - [i17]Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Furong Huang:
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment. CoRR abs/2410.11283 (2024) - [i16]Udari Madhushani Sehwag, Kelly Patel, Francesca Mosca, Vineeth Ravi, Jessica Staddon:
Can LLMs be Scammed? A Baseline Measurement Study. CoRR abs/2410.13893 (2024) - [i15]Udari Madhushani Sehwag, Kassiani Papasotiriou, Jared Vann, Sumitra Ganesh:
In-Context Learning with Topological Information for Knowledge Graph Completion. CoRR abs/2412.08742 (2024) - 2023
- [b1]Udari Madhushani:
Learning Through Social Interactions and Learning to Socially Interact in Multi-Agent Learning. Princeton University, USA, 2023 - [i14]Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán:
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. CoRR abs/2305.00768 (2023) - [i13]Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh:
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. CoRR abs/2310.14403 (2023) - 2022
- [c14]Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard:
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication. ACC 2022: 3311-3316 - [c13]Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty:
On Using Hamiltonian Monte Carlo Sampling for RL. CDC 2022: 6640-6645 - [c12]Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan:
A Regret Minimization Approach to Multi-Agent Control. ICML 2022: 7422-7434 - [i12]Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan:
A Regret Minimization Approach to Multi-Agent Contro. CoRR abs/2201.13288 (2022) - [i11]John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo:
Melting Pot 2.0. CoRR abs/2211.13746 (2022) - 2021
- [j2]Udari Madhushani, Naomi Ehrich Leonard:
Heterogeneous Explore-Exploit Strategies on Multi-Star Networks. IEEE Control. Syst. Lett. 5(5): 1603-1608 (2021) - [c11]Udari Madhushani, Naomi Ehrich Leonard:
Heterogeneous Explore-Exploit Strategies on Multi-Star Networks. ACC 2021: 1192-1197 - [c10]Udari Madhushani, Naomi Ehrich Leonard:
Distributed Bandits: Probabilistic Communication on d-regular Graphs. ECC 2021: 830-835 - [c9]María Santos, Udari Madhushani, Alessia Benevento, Naomi Ehrich Leonard:
Multi-robot Learning and Coverage of Unknown Spatial Fields. MRS 2021: 137-145 - [c8]Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland:
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. NeurIPS 2021: 7813-7824 - [i10]Udari Madhushani, Naomi Ehrich Leonard:
When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits. CoRR abs/2110.04396 (2021) - [i9]Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard:
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication. CoRR abs/2110.07392 (2021) - [i8]Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland:
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. CoRR abs/2111.12482 (2021) - 2020
- [c7]Udari Madhushani, Naomi Ehrich Leonard:
A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem. ECC 2020: 1677-1682 - [i7]Udari Madhushani, Naomi Ehrich Leonard:
A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem. CoRR abs/2004.03793 (2020) - [i6]Udari Madhushani, Naomi Ehrich Leonard:
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments. CoRR abs/2004.06171 (2020) - [i5]Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty:
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL. CoRR abs/2011.05927 (2020) - [i4]Udari Madhushani, Naomi Ehrich Leonard:
Distributed Bandits: Probabilistic Communication on d-regular Graphs. CoRR abs/2011.07720 (2020)
2010 – 2019
- 2019
- [c6]Udari Madhushani, Naomi Ehrich Leonard:
Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem. ECC 2019: 3502-3507 - [i3]Udari Madhushani, Naomi Ehrich Leonard:
Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem. CoRR abs/1905.08731 (2019) - 2018
- [c5]W. M. L. T. Weerakoon, T. W. U. Madhushani, D. H. S. Maithripala, Jordan M. Berg:
Feedback Regularization and Geometric PID Control for Robust Stabilization of a Planar Three-link Hybrid Bipedal Walking Model. ACC 2018: 6061-6066 - 2017
- [j1]T. W. U. Madhushani, D. H. S. Maithripala, J. V. Wijayakulasooriya, Jordan M. Berg:
Semi-globally exponential trajectory tracking for a class of spherical robots. Autom. 85: 327-338 (2017) - [c4]T. W. U. Madhushani, D. H. Sanjeeva Maithripala, Jordan M. Berg:
Feedback regularization and geometric PID control for trajectory tracking of mechanical systems: Hoop robots on an inclined plane. ACC 2017: 3938-3943 - [c3]I D. Basnayake, T. W. U. Madhushani, D. H. S. Maithripala:
Intrinsic PID controller for a segway type mobile robot. ICIIS 2017: 1-6 - [c2]Kusal B. Tennakoon, T. W. U. Madhushani, D. H. S. Maithripala, J. V. Wijayakulasooriya:
Multi-armed bandit based approach for performance enhancement of window intensity test(WIT) detector. ICIIS 2017: 1-6 - [i2]T. W. U. Madhushani, D. H. Sanjeeva Maithripala, Naomi Ehrich Leonard:
Asymptotic Allocation Rules for a Class of Dynamic Multi-armed Bandit Problems. CoRR abs/1710.00450 (2017) - [i1]W. M. L. T. Weerakoon, T. W. U. Madhushani, D. H. S. Maithripala, Jordan M. Berg:
Feedback Regularization and Geometric PID Control for Robust Stabilization of a Planar Three-link Hybrid Bipedal Walking Model. CoRR abs/1710.02066 (2017) - 2016
- [c1]T. W. U. Madhushani, D. H. S. Maithripala, J. V. Wijayakulasooriya:
WIT: Window intensity test detector and descriptor. ICIIS 2016: 339-344
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last updated on 2025-08-27 19:52 CEST by the dblp team
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