Tien Mai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Markov Decision Process

Facility Location

Reinforcement Learning

Top Venues

Eur. J. Oper. Res.

Publications

Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively. AAAI (2024)
Huy Hoang, Tien Mai, Pradeep Varakantham
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. AAAI (2024)
Hoang Giang Pham, Tien Mai
Outer Approximation and Super-modular Cuts for Constrained Assortment Optimization under Mixed-Logit Model. CoRR (2024)
Huy Hoang, Tien Mai, Pradeep Varakantham
SubIQ: Inverse Soft-Q Learning for Offline Imitation with Suboptimal Demonstrations. CoRR (2024)
Hoang Giang Pham, Tien Thanh Dam, Ngan Ha Duong, Tien Mai, Minh Hoàng Hà
Competitive Facility Location under Random Utilities and Routing Constraints. CoRR (2024)
Huy Hoang, Tien Mai, Pradeep Varakantham
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. CoRR (2023)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. CoRR (2023)
Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
A Fair Incentive Scheme for Community Health Workers. AAAI (2023)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. CoRR (2023)
Hao Jiang, Tien Mai, Pradeep Varakantham
Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties. CoRR (2023)
Ngan Ha Duong, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Joint location and cost planning in maximum capture facility location under random utilities. Comput. Oper. Res. 159 (2023)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. AAMAS (2023)
Tien Mai, Arunesh Sinha
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. AAAI (2023)
Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh H. Nguyen
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR (2023)
Viet The Bui, Tien Mai
Imitation Improvement Learning for Large-Scale Capacitated Vehicle Routing Problems. ICAPS (2023)
Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Robust maximum capture facility location under random utility maximization models. Eur. J. Oper. Res. 310 (3) (2023)
Tien Mai, Arunesh Sinha
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. AAAI (2022)
Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Joint chance-constrained staffing optimization in multi-skill call centers. J. Comb. Optim. 44 (1) (2022)
Tien Mai, Emma Frejinger
Undiscounted Recursive Path Choice Models: Convergence Properties and Algorithms. Transp. Sci. 56 (6) (2022)
Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer
A Logistic Regression and Linear Programming Approach for Multi-Skill Staffing Optimization in Call Centers. WSC (2022)
Tien Mai, Arunesh Sinha
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. CoRR (2022)
Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Submodularity and local search approaches for maximum capture problems under generalized extreme value models. Eur. J. Oper. Res. 300 (3) (2022)
The Viet Bui, Tien Mai, Thanh H. Nguyen
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. CoRR (2022)
Avinandan Bose, Arunesh Sinha, Tien Mai
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees. NeurIPS (2022)
The Viet Bui, Tien Mai, Patrick Jaillet
Weighted Maximum Entropy Inverse Reinforcement Learning. CoRR (2022)
Avinandan Bose, Arunesh Sinha, Tien Mai
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees. CoRR (2022)
Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer
On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling. Math. Program. 190 (1) (2021)
Tien Mai, Patrick Jaillet
Robust Entropy-regularized Markov Decision Processes. CoRR (2021)
Xinlian Yu, Tien Mai, Jing Ding-Mastera, Song Gao, Emma Frejinger
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models. CoRR (2020)
Tien Mai, Patrick Jaillet
A Relation Analysis of Markov Decision Process Frameworks. CoRR (2020)
Tien Mai, Andrea Lodi
A multicut outer-approximation approach for competitive facility location under random utilities. Eur. J. Oper. Res. 284 (3) (2020)
Tien Mai, Patrick Jaillet
Robust Multi-product Pricing under General Extreme Value Models. CoRR (2019)
Tien Mai, Kennard Chan, Patrick Jaillet
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. CoRR (2019)
Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
Inverse Reinforcement Learning with Missing Data. CoRR (2019)
Tien Mai, Fabian Bastin, Emma Frejinger
A decomposition method for estimating recursive logit based route choice models. EURO J. Transp. Logist. 7 (3) (2018)