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Udari Madhushani
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Year
Semi-globally exponential trajectory tracking for a class of spherical robots
TWU Madhushani, DHS Maithripala, JV Wijayakulasooriya, JM Berg
Automatica 85, 327-338, 2017
252017
Feedback regularization and geometric PID control for trajectory tracking of mechanical systems: Hoop robots on an inclined plane
TWU Madhushani, DHS Maithripala, JM Berg
2017 American Control Conference (ACC), 3938-3943, 2017
192017
A dynamic observation strategy for multi-agent multi-armed bandit problem
U Madhushani, NE Leonard
2020 European Control Conference (ECC), 1677-1682, 2020
152020
Heterogeneous stochastic interactions for multiple agents in a multi-armed bandit problem
U Madhushani, NE Leonard
2019 18th European Control Conference (ECC), 3502-3507, 2019
152019
One more step towards reality: Cooperative bandits with imperfect communication
U Madhushani, A Dubey, N Leonard, A Pentland
Advances in Neural Information Processing Systems 34, 7813-7824, 2021
112021
Heterogeneous explore-exploit strategies on multi-star networks
U Madhushani, NE Leonard
2021 American Control Conference (ACC), 1192-1197, 2021
112021
Distributed learning: Sequential decision making in resource-constrained environments
U Madhushani, NE Leonard
arXiv preprint arXiv:2004.06171, 2020
92020
Intrinsic PID controller for a segway type mobile robot
ID Basnayake, TWU Madhushani, DHS Maithripala
2017 IEEE International Conference on Industrial and Information Systems …, 2017
92017
A geometric pid control framework for mechanical systems
DHS Maithripala, TWU Madhushani, JM Berg
arXiv preprint arXiv:1610.04395, 2016
52016
Feedback regularization and geometric pid control for trajectory tracking of coupled mechanical systems: Hoop robots on an inclined plane
TWU Madhushani, DHS Maithripala, JM Berg
arXiv preprint arXiv:1609.09557, 2016
52016
When to call your neighbor? strategic communication in cooperative stochastic bandits
U Madhushani, N Leonard
arXiv preprint arXiv:2110.04396, 2021
32021
Multi-robot Learning and Coverage of Unknown Spatial Fields
M Santos, U Madhushani, A Benevento, NE Leonard
32021
It doesn’t get better and here’s why: A fundamental drawback in natural extensions of ucb to multi-agent bandits
U Madhushani, N Leonard
''I Can't Believe It's Not Better!''NeurIPS 2020 workshop, 2020
32020
A Regret Minimization Approach to Multi-Agent Control
U Ghai, U Madhushani, N Leonard, E Hazan
arXiv preprint arXiv:2201.13288, 2022
22022
Distributed bandits: Probabilistic communication on d-regular graphs
U Madhushani, NE Leonard
2021 European Control Conference (ECC), 830-835, 2021
22021
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication
J Lidard, U Madhushani, NE Leonard
2022 American Control Conference (ACC), 3311-3316, 2022
12022
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL
U Madhushani, B Dey, NE Leonard, A Chakraborty
arXiv preprint arXiv:2011.05927, 2020
12020
Wit: Window intensity test detector and descriptor
TWU Madhushani, DHS Maithripala, JV Wijayakulasooriya
2016 11th International Conference on Industrial and Information Systems …, 2016
12016
On Using Hamiltonian Monte Carlo Sampling for RL
U Madhushani, B Dey, NE Leonard, A Chakraborty
2022 IEEE 61st Conference on Decision and Control (CDC), 6640-6645, 2022
2022
Melting Pot 2.0
JP Agapiou, AS Vezhnevets, EA Duéñez-Guzmán, J Matyas, Y Mao, ...
arXiv preprint arXiv:2211.13746, 2022
2022
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