Weighted Maximum Entropy Inverse Reinforcement Learning. - The Viet Bui; Tien Anh Mai; Patrick Jaillet (CoRR, 2022)

Imitation Improvement Learning for Large-Scale Capacitated Vehicle Routing Problems. - Viet The Bui; Tien Anh Mai (ICAPS, 2023)

Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (AAMAS, 2023)

Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (CoRR, 2023)

Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (CoRR, 2023)

Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (NeurIPS, 2024)

Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (NeurIPS, 2024)

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

O-MAPL: Offline Multi-agent Preference Learning. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (CoRR, 2025)

MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (CoRR, 2025)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning. - The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen (CoRR, 2025)