Le Cong Dinh

According to our database, Le Cong Dinh authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary.

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Online Markov decision processes with non-oblivious strategic adversary.

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang

Auton. Agents Multi Agent Syst., June, 2023

Efficient and adaptive incentive selection for crowdsourcing contests.

Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings

Appl. Intell., April, 2023

Achieving Better Regret against Strategic Adversaries.

Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh

CoRR, 2023

Regret-Minimizing Double Oracle for Extensive-Form Games.

Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost.

Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh

Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

2022

Online Double Oracle.

Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang

Trans. Mach. Learn. Res., 2022

Online Learning against Strategic Adversary.

Le Cong Dinh

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Online Double Oracle.

Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang

CoRR, 2021

How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design.

Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games.

Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh

Proceedings of the Algorithmic Learning Theory, 2021

2020

Exploiting No-Regret Algorithms in System Design.

Le Cong Dinh, Nick Bishop, Long Tran-Thanh

CoRR, 2020

Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information.

Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho

CoRR, 2020