👋 Hello! I'm Bui The Viet, an AI Researcher with a strong background in Reinforcement Learning (RL), Natural Language Processing (NLP), and Large Language Models (LLMs). I am passionate about developing and implementing innovative AI solutions and have a track record of publications in top-tier conferences and journals such as ICML, ICLR, NeurIPS, ICAPS, AAMAS, and Transportation Research Part B. My goal is to contribute to cutting-edge research and collaborate with interdisciplinary teams to address complex AI challenges.

• 🔬 Currently a Ph.D. Candidate in Computer Science at Singapore Management University (SMU) (Jan 2024 - Present).
• 🏆 Honored to be an SMU Presidential Doctoral Fellow in Computing.
• ✨ Previously, as a Research Engineer at SMU (Nov 2021 - Jan 2024), I led research in combinatorial optimization, discrete choice modeling, and reinforcement learning, applying findings to real-world problems like electric vehicle routing and competitive games. I was also a recipient of the SMU Research Staff Excellence Award (one of only 4 recipients across the university).
• 🛠️ Before that, I was a Research Engineer at FPT Research Institute (May 2019 - May 2021), where I focused on foundational technologies for chat-bot products and delivered production-level AI solutions.

My primary research interests span across:

• Reinforcement Learning (RL) & Multi-agent Reinforcement Learning (MARL)
• Inverse Reinforcement Learning & Imitation Learning
• Transformer-based Models
• Safe Reinforcement Learning with constraints
• Preference Learning
• Vehicle Routing Problems
• Natural Language Processing (NLP)

• Languages: Python, C/C++, JavaScript, Rust
• ML Programming & Libraries: PyTorch, Tensorflow, TFjs, JAX, Numpy, TorchScript, TorchFX, Huggingface

Here are a few highlights from my research contributions:

• Bui, T. V., Mai, T. A., & Nguyen, T. H. O-MAPL: Offline Multi-agent Preference Learning. ICML 2025.
• Bui, T. V., Mai, T. A., & Nguyen, T. H. Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning. NeurIPS 2024.
• Bui, T. V., Mai, T. A., & Nguyen, T. H. Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games. NeurIPS 2024.
• Bui, T. V., Mai, T. A. Imitation Improvement Learning for Large-Scale Capacitated Vehicle Routing Problems. ICAPS 2023.
• Mai, T. A., Bui, T. V., Nguyen, Q. P, & Le, V. T. Estimation of recursive route choice models with incomplete trip observations. Transportation Research Part B.

For a comprehensive list, please visit my Google Scholar profile.

Please explore my repositories below! I aim to share code and resources related to my research and other AI/ML explorations.

• Email: vietbt6@gmail.com
• LinkedIn: linkedin.com/in/vietbt6
• GitHub: github.com/vietbt

I'm always open to discussing research ideas, collaborations, or just chatting about AI!