2 citations · 7 across the 7 of their papers we have counts for
8 papers
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
The Viet Bui, Tien Mai, Thanh H. Nguyen
Recent research on vulnerabilities of deep reinforcement learning (RL) has shown that adversarial policies adopted by an adversary agent can influence a target RL agent (victim age…
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Avinandan Bose, Arunesh Sinha, Tien Mai
Distributionally robust optimization (DRO) has shown lot of promise in providing robustness in learning as well as sample based optimization problems. We endeavor to provide DRO so…
Estimation of Recursive Route Choice Models with Incomplete Trip Observations
Tien Mai, The Viet Bui, Quoc Phong Nguyen +1
This work concerns the estimation of recursive route choice models in the situation that the trip observations are incomplete, i.e., there are unconnected links (or nodes) in the o…
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Tien Mai, Arunesh Sinha
Vaccine delivery in under-resourced locations with security risks is not just challenging but also life threatening. The current COVID pandemic and the need to vaccinate have added…
A Relation Analysis of Markov Decision Process Frameworks
Tien Mai, Patrick Jaillet
We study the relation between different Markov Decision Process (MDP) frameworks in the machine learning and econometrics literatures, including the standard MDP, the entropy and g…
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models
Xinlian Yu, Tien Mai, Jing Ding-Mastera +2
We study the routing policy choice problems in a stochastic time-dependent (STD) network. A routing policy is defined as a decision rule applied at the end of each link that maps t…