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Le Cong Dinh
Le Cong Dinh
PhD student
Verified email at soton.ac.uk
Title
Cited by
Cited by
Year
Online double oracle
LC Dinh, Y Yang, S McAleer, Z Tian, NP Nieves, O Slumbers, DH Mguni, ...
Transactions on Machine Learning Research, 2022
292022
Last round convergence and no-dynamic regret in asymmetric repeated games
LC Dinh, TD Nguyen, A B Zemhoho, L Tran-Thanh
Algorithmic Learning Theory 132, 553-577, 2021
102021
Online Markov decision processes with non-oblivious strategic adversary
LC Dinh, DH Mguni, L Tran-Thanh, J Wang, Y Yang
Autonomous Agents and Multi-Agent Systems 37 (1), 15, 2023
42023
Efficient and adaptive incentive selection for crowdsourcing contests
NVQ Truong, LC Dinh, S Stein, L Tran-Thanh, NR Jennings
Applied Intelligence 53 (8), 9204-9234, 2023
42023
How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design
N Bishop, LC Dinh, L Tran-Thanh
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
32021
Regret-minimizing double oracle for extensive-form games
X Tang, SM McAleer, Y Yang
International Conference on Machine Learning, 33599-33615, 2023
22023
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information
LTT Le Cong Dinh, TD Nguyen, AB Zemkoho
arXiv preprint arXiv:2003.11727, 2020
22020
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost
S Mahesh, N Bishop, LC Dinh, L Tran-Thanh
International Conference on Decision and Game Theory for Security, 257-276, 2023
2023
Online learning in the presence of strategic adversary
LC Dinh
University of Southampton, 2023
2023
Achieving Better Regret against Strategic Adversaries
LC Dinh, TD Nguyen, A Zemkoho, L Tran-Thanh
arXiv preprint arXiv:2302.06652, 2023
2023
Online Learning against Strategic Adversary
LC Dinh
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
2022
Playing Coopetitive Polymatrix Games with Small Manipulation Cost
S Mahesh, N Bishop, LC Dinh, L Tran-Thanh
arXiv preprint arXiv:2110.13532, 2021
2021
Exploiting No-Regret Algorithms in System Design
LC Dinh, N Bishop, L Tran-Thanh
arXiv preprint arXiv:2007.11172, 2020
2020
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information
C Le Dinh, L Tran-Thanh, TD Nguyen, AB Zemkoho
arXiv e-prints, arXiv: 2003.11727, 2020
2020
Online Double Oracle
D Le Cong, SM McAleer, Z Tian, N Perez-Nieves, O Slumbers, DH Mguni, ...
Transactions on Machine Learning Research, 0
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Articles 1–15