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 Safe Reinforcement Learning: Ensuring safety constraints, robust policy optimization with limited data, and risk-aware decision-making.
- Offline Model-Based Optimization: Developing surrogate models and efficient strategies for solving high-dimensional design problems.
Publications and Preprints
O3SRL: Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa.
Conference on Neural Information Processing Systems (AAAI), 2025.
arXiv / code
Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa.
Conference on Neural Information Processing Systems (AAAI), 2025.
arXiv / code
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, 2026
- NeurIPS 2024, 2025 — Top Reviewer
- ICML 2025
- ICLR 2025, 2026
- AISTATS 2025
Teaching Assistance
- Introduction to Machine Learning (Fall 2023)