T. W. U. Madhushani

According to our database, T. W. U. Madhushani authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AI Risk Management Should Incorporate Both Safety and Security.

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

CoRR, 2024

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

2023

Learning Through Social Interactions and Learning to Socially Interact in Multi-Agent Learning

Udari Madhushani

PhD thesis, 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

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, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán

CoRR, 2023

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, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo

CoRR, 2022

A Regret Minimization Approach to Multi-Agent Contro.

Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan

CoRR, 2022

A Regret Minimization Approach to Multi-Agent Control.

Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan

Proceedings of the International Conference on Machine Learning, 2022

On Using Hamiltonian Monte Carlo Sampling for RL.

Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication.

Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard

Proceedings of the American Control Conference, 2022

2021

Heterogeneous Explore-Exploit Strategies on Multi-Star Networks.

Udari Madhushani, Naomi Ehrich Leonard

IEEE Control. Syst. Lett., 2021

When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits.

Udari Madhushani, Naomi Ehrich Leonard

CoRR, 2021

One More Step Towards Reality: Cooperative Bandits with Imperfect Communication.

Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-robot Learning and Coverage of Unknown Spatial Fields.

María Santos, Udari Madhushani, Alessia Benevento, Naomi Ehrich Leonard

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Distributed Bandits: Probabilistic Communication on d-regular Graphs.

Udari Madhushani, Naomi Ehrich Leonard

Proceedings of the 2021 European Control Conference, 2021

2020

Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL.

Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty

CoRR, 2020

Distributed Learning: Sequential Decision Making in Resource-Constrained Environments.

Udari Madhushani, Naomi Ehrich Leonard

CoRR, 2020

A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem.

Udari Madhushani, Naomi Ehrich Leonard

Proceedings of the 18th European Control Conference, 2020

2019

Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem.

Udari Madhushani, Naomi Ehrich Leonard

Proceedings of the 17th European Control Conference, 2019

2018

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

Proceedings of the 2018 Annual American Control Conference, 2018

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

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

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

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

Intrinsic PID controller for a segway type mobile robot.

I D. Basnayake, T. W. U. Madhushani, D. H. S. Maithripala

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

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

Proceedings of the 2017 American Control Conference, 2017

2016

WIT: Window intensity test detector and descriptor.

T. W. U. Madhushani, D. H. S. Maithripala, J. V. Wijayakulasooriya

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016