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T. W. U. Madhushani
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2020 – today
- 2024
- [i16]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) - [i15]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) - 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
Coauthor Index
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last updated on 2024-08-23 19:24 CEST by the dblp team
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