I am a PhD student at Washington State University, advised by Prof. Jana Doppa.
Research Interests
I am broadly interested in research on Offline Optimization and Reinforcement Learning. My current research focuses primarily on:
- Offline Model-Based Optimization: Developing surrogate models and efficient strategies for solving high-dimensional design problems.
- Offline Safe Reinforcement Learning: Ensuring safety constraints, robust policy optimization with limited data, and risk-aware decision-making.
Publications and Preprints
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Janardhan Rao Doppa
Association for the Advancement of Artificial Intelligence (AAAI), 2025 (Oral)
arXiv / code
Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Janardhan Rao Doppa
Association for the Advancement of Artificial Intelligence (AAAI), 2025 (Oral)
arXiv / code
Offline Model-Based Optimization via Policy-Guided Gradient Search
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Association for the Advancement of Artificial Intelligence (AAAI), 2024
arXiv / code
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa
Association for the Advancement of Artificial Intelligence (AAAI), 2024
arXiv / code
Service and Teaching
Reviewing
- AAAI 2024, 2025
- NeurIPS 2024 — Top Reviewer
- ICLR 2025
- AISTATS 2025
Teaching Assistance
- Introduction to Machine Learning (Fall 2023)