Parham M. Panahi

Research Assistant
Department of Computing Science
University of Alberta

parham1@ualberta.ca

I am a machine learning and reinforcement learning researcher at the University of Alberta, working with Adam White. I am also affiliated with the RLAI lab and the Alberta Machine Intelligence Institute (amii). Before that, I graduated with a M.Sc. in Computing Science from the University of Alberta in 2024.

Research


Keywords: Deep Reinforcement Learning, Data-Efficient Machine Learning, Continual Learning, Model-Based RL

I am broadly interested in machine learning and reinforcement learning. My research goal is to create efficient and reliable learning systems capable of continual interaction and decision-making in a changing world.

Publications


Panahi P. M. (2024). Investigating the Interplay of Prioritized Replay and Generalization. Master's thesis, University of Alberta.

Panahi P. M., Patterson A., White M., White A. (2024). Investigating the Interplay of Prioritized Replay and Generalization. The Reinforcement Learning Conference.

Mesbahi G., Panahi P. M., Mastikhina O., White M., White A. (2024). K-percent Evaluation for Lifelong RL. Preprint.

*Lo C., *Roice K., *Panahi P. M., Jordan S., White A., Mihucz G., Aminmansour F., White M. (2024). Goal-Space Planning With Subgoal Models. Journal of Machine Learning Research.

*Roice K., *Panahi P. M., Jordan S., White A., White M. (2024). A New View on Planning in Online Reinforcement Learning. PRL workshop at The International Conference on Automated Planning and Scheduling.

* indicates equal contribution