Mohamed Elsayed
Dept. of Computing Science, University of Alberta
I am a PhD student at the RLAI lab, working with Rupam Mahmood and affiliated with Amii. I work on developing scalable general-purpose mechanisms for learning from continuous streams of experience.
My research spans multiple critical areas: (1) streaming deep reinforcement learning, developing simple methods for real-time learning from interaction; (2) continual learning, allowing learners to adapt indefinitely without performance degradation; and (3) scalable recurrent architectures for efficient sequence modeling. My work has been published at leading ML conferences (NeurIPS, ICML, ICLR), with implementations deployed on real robotic systems.
Prior to this, I completed my master's degree from the University of Alberta and my bachelor's degree in Communication and Information Engineering from Zewail City of Science and Technology, Egypt.
Outside of research: I'm passionate about photography. I also enjoy observing animal behavior and intelligence, particularly ravens.
news
| Jul 10, 2025 |
Excited to announce our new paper on sequence learning from continuous streams of data! |
|---|---|
| Oct 18, 2024 | Our paper on streaming deep reinforcement learning is now released! |
| Sep 25, 2024 | Our paper led by Gautham Vasan on deep policy gradient methods without batch updates, target networks, or replay buffers is accepted at NeurIPS 2024. |
| May 15, 2024 | Our paper on the role of weight clipping for deep continual and reinforcement learning is accepted at RLC 2024. |
| May 1, 2024 | Our paper on revisiting scalable Hessian diagonal approximations for applications in reinforcement learning is accepted at ICML 2024. |
| Jan 16, 2024 | Our paper on loss of plasticity and catastrophic forgetting is accepted at ICLR 2024. |
| Sep 1, 2022 | Started PhD in continual representation learning at the University of Alberta. |
| May 13, 2022 | Defended my MSc thesis on online representation search. |
| Dec 31, 2020 | Finished my internship at Huawei, Edmonton (see this NeurIPS workshop paper for a summary) |
| May 1, 2020 | Started my internship at Huawei, Edmonton. |