Le Cong Dinh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Markov Decision Process

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS (2024)
Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
Achieving Better Regret against Strategic Adversaries. CoRR (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. CoRR (2023)
Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Efficient and adaptive incentive selection for crowdsourcing contests. Appl. Intell. 53 (8) (2023)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. ICML (2023)
Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
Online Double Oracle. Trans. Mach. Learn. Res. 2022 (2022)
Le Cong Dinh
Online Learning against Strategic Adversary. AAMAS (2022)
Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. AAMAS (2021)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR (2021)
Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. CoRR (2021)
Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. ALT (2021)
Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang
Online Double Oracle. CoRR (2021)
Le Cong Dinh, Nick Bishop, Long Tran-Thanh
Exploiting No-Regret Algorithms in System Design. CoRR (2020)
Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. CoRR (2020)