Parham M. Panahi
M.Sc. Student
Department of Computing Science
University of Alberta
parham1@ualberta.ca
(780) 937-1410
I am a graduate student of Computing Science at the University of Alberta. I am advised by Adam White, working in the RLAI lab. Before that, I graduated with a B.Sc. in Computer Science from Azad University of Tehran in 2021.
Research
Keywords: Deep Reinforcement Learning, Continual Learning, Temporal Abstraction, 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.
Conference Papers
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.
Journal Papers
*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.
Workshop Papers
*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
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