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)

Exploiting No-Regret Algorithms in System Design. - Le Cong Dinh; Nick Bishop; Long Tran-Thanh (CoRR, 2020)

Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. - Le Cong Dinh; Tri-Dung Nguyen; Alain B. Zemkoho; Long Tran-Thanh (ALT, 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 (AAMAS, 2021)

Online Double Oracle. - Le Cong Dinh; Yaodong Yang 001; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

Online Learning against Strategic Adversary. - Le Cong Dinh (AAMAS, 2022)

Online Double Oracle. - Le Cong Dinh; Stephen Marcus McAleer; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Jun Wang 012; Haitham Bou-Ammar; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2022)

Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. - Shivakumar Mahesh; Nicholas Bishop; Le Cong Dinh; Long Tran-Thanh (GameSec, 2023)

Regret-Minimizing Double Oracle for Extensive-Form Games. - Xiaohang Tang; Le Cong Dinh; Stephen Marcus McAleer; Yaodong Yang 001 (ICML, 2023)

Achieving Better Regret against Strategic Adversaries. - Le Cong Dinh; Tri-Dung Nguyen; Alain B. Zemkoho; Long Tran-Thanh (CoRR, 2023)

Efficient and adaptive incentive selection for crowdsourcing contests. - Nhat Van-Quoc Truong; Le Cong Dinh; Sebastian Stein 001; Long Tran-Thanh; Nicholas R. Jennings (Appl. Intell., 2023)

Online Markov decision processes with non-oblivious strategic adversary. - Le Cong Dinh; David Henry Mguni; Long Tran-Thanh; Jun Wang 012; Yaodong Yang 001 (Auton. Agents Multi Agent Syst., 2023)

A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. - Le Cong Dinh; David Henry Mguni; Long Tran-Thanh; Jun Wang 012; Yaodong Yang 001 (AAMAS, 2024)