Nguyen, Thanh Hong

20 publications

ICLR 2025 ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai

NeurIPS 2025 MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen

ICML 2025 O-MAPL: Offline Multi-Agent Preference Learning The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen

NeurIPS 2024 Inverse Factorized Soft Q-Learning for Cooperative Multi-Agent Imitation Learning The Viet Bui, Tien Mai, Thanh Hong Nguyen

NeurIPS 2024 Mimicking to Dominate: Imitation Learning Strategies for Success in Multiagent Games The Viet Bui, Tien Mai, Thanh Hong Nguyen

IJCAI 2024 Tackling Stackelberg Network Interdiction Against a Boundedly Rational Adversary Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar Singh

AAAI 2023 Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks Thanh Hong Nguyen, Arunesh Sinha

AAAI 2023 Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha

IJCAI 2023 Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen

IJCAI 2020 Partial Adversarial Behavior Deception in Security Games Thanh Hong Nguyen, Arunesh Sinha, He He

AAAI 2019 Deception in Finitely Repeated Security Games Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

ECML-PKDD 2019 Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe

AAAI 2016 Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe

AAAI 2016 Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe

AAAI 2016 Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux

AAAI 2016 From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe

IJCAI 2016 Three Strategies to Success: Learning Adversary Models in Security Games Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe

AAAI 2014 Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier

AAAI 2013 Analyzing the Effectiveness of Adversary Modeling in Security Games Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe

AAAI 2012 Security Games for Controlling Contagion Jason Tsai, Thanh Hong Nguyen, Milind Tambe