WIT: Window intensity test detector and descriptor. - T. W. U. Madhushani; D. H. S. Maithripala; J. V. Wijayakulasooriya (ICIIS, 2016)

Feedback regularization and geometric PID control for trajectory tracking of mechanical systems: Hoop robots on an inclined plane. - T. W. U. Madhushani; D. H. Sanjeeva Maithripala; Jordan M. Berg (ACC, 2017)

Intrinsic PID controller for a segway type mobile robot. - I D. Basnayake; T. W. U. Madhushani; D. H. S. Maithripala (ICIIS, 2017)

Multi-armed bandit based approach for performance enhancement of window intensity test(WIT) detector. - Kusal B. Tennakoon; T. W. U. Madhushani; D. H. S. Maithripala; J. V. Wijayakulasooriya (ICIIS, 2017)

Semi-globally exponential trajectory tracking for a class of spherical robots. - T. W. U. Madhushani; D. H. S. Maithripala; J. V. Wijayakulasooriya; Jordan M. Berg (Autom., 2017)

Asymptotic Allocation Rules for a Class of Dynamic Multi-armed Bandit Problems. - T. W. U. Madhushani; D. H. Sanjeeva Maithripala; Naomi Ehrich Leonard (CoRR, 2017)

Feedback Regularization and Geometric PID Control for Robust Stabilization of a Planar Three-link Hybrid Bipedal Walking Model. - W. M. L. T. Weerakoon; T. W. U. Madhushani; D. H. S. Maithripala; Jordan M. Berg (ACC, 2018)

Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem. - Udari Madhushani; Naomi Ehrich Leonard (ECC, 2019)

A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem. - Udari Madhushani; Naomi Ehrich Leonard (ECC, 2020)

Distributed Learning: Sequential Decision Making in Resource-Constrained Environments. - Udari Madhushani; Naomi Ehrich Leonard (CoRR, 2020)

Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL. - Udari Madhushani; Biswadip Dey; Naomi Ehrich Leonard; Amit Chakraborty (CoRR, 2020)

Distributed Bandits: Probabilistic Communication on d-regular Graphs. - Udari Madhushani; Naomi Ehrich Leonard (ECC, 2021)

Multi-robot Learning and Coverage of Unknown Spatial Fields. - María Santos 003; Udari Madhushani; Alessia Benevento; Naomi Ehrich Leonard (MRS, 2021)

One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. - Udari Madhushani; Abhimanyu Dubey; Naomi Ehrich Leonard; Alex Pentland (NeurIPS, 2021)

When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits. - Udari Madhushani; Naomi Ehrich Leonard (CoRR, 2021)

Heterogeneous Explore-Exploit Strategies on Multi-Star Networks. - Udari Madhushani; Naomi Ehrich Leonard (IEEE Control. Syst. Lett., 2021)

Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication. - Justin Lidard; Udari Madhushani; Naomi Ehrich Leonard (ACC, 2022)

On Using Hamiltonian Monte Carlo Sampling for RL. - Udari Madhushani; Biswadip Dey; Naomi Ehrich Leonard; Amit Chakraborty (CDC, 2022)

A Regret Minimization Approach to Multi-Agent Control. - Udaya Ghai; Udari Madhushani; Naomi Ehrich Leonard; Elad Hazan (ICML, 2022)

A Regret Minimization Approach to Multi-Agent Contro. - Udaya Ghai; Udari Madhushani; Naomi Ehrich Leonard; Elad Hazan (CoRR, 2022)

Melting Pot 2.0. - 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; et al. (CoRR, 2022)

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. - Udari Madhushani; Kevin R. McKee; John P. Agapiou; Joel Z. Leibo; Richard Everett 001; Thomas W. Anthony 001; Edward Hughes 001; Karl Tuyls; Edgar A. Duéñez-Guzmán (CoRR, 2023)

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. - Yuchen Xiao; Yanchao Sun; Mengda Xu; Udari Madhushani; Jared Vann; Deepeka Garg; Sumitra Ganesh (CoRR, 2023)

Learning Through Social Interactions and Learning to Socially Interact in Multi-Agent Learning - Udari Madhushani (2023)

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis. - Deepeka Garg; Benjamin Patrick Evans; Leo Ardon; Annapoorani Lakshmi Narayanan; Jared Vann; Udari Madhushani; Makada Henry-Nickie; Sumitra Ganesh (CoRR, 2024)

AI Risk Management Should Incorporate Both Safety and Security. - Xiangyu Qi; Yangsibo Huang; Yi Zeng 005; Edoardo Debenedetti; Jonas Geiping; Luxi He; Kaixuan Huang; Udari Madhushani; Vikash Sehwag; Weijia Shi; Boyi Wei; Tinghao Xie; et al. (CoRR, 2024)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (CoRR, 2024)

AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment. - Pankayaraj Pathmanathan; Udari Madhushani Sehwag; Michael-Andrei Panaitescu-Liess; Furong Huang (CoRR, 2024)

Can LLMs be Scammed? A Baseline Measurement Study. - Udari Madhushani Sehwag; Kelly Patel; Francesca Mosca; Vineeth Ravi; Jessica Staddon (CoRR, 2024)

In-Context Learning with Topological Information for Knowledge Graph Completion. - Udari Madhushani Sehwag; Kassiani Papasotiriou; Jared Vann; Sumitra Ganesh (CoRR, 2024)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. - Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh (ICLR, 2025)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (ICLR, 2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. - Yuancheng Xu; Udari Madhushani Sehwag; Alec Koppel; Sicheng Zhu; Bang An 001; Furong Huang; Sumitra Ganesh (ICLR, 2025)

Generative AI Agents for Knowledge Work Augmentation in Finance. - Sumitra Ganesh; Leo Ardon; Daniel Borrajo; Deepeka Garg; Udari Madhushani Sehwag; Annapoorani Lakshmi Narayanan; Giuseppe Canonaco; Manuela M. Veloso (Annu. Rev. Control. Robotics Auton. Syst., 2025)