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Mohamed Elsayed

Orcid: 0009-0008-0999-6015

Affiliations:
  • University of Alberta, Department of Computing Science, Edmonton, AB, Canada
  • Alberta Machine Intelligence Institute (Amii), Edmonton, AB, Canada


According to our database1, Mohamed Elsayed authored at least 7 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Streaming Deep Reinforcement Learning Finally Works.
[BibTeX]
[DOI]
Mohamed Elsayed
,
Gautham Vasan
,
A. Rupam Mahmood
CoRR, 2024

Weight Clipping for Deep Continual and Reinforcement Learning.
[BibTeX]
[DOI]
Mohamed Elsayed
,
Qingfeng Lan
,
Clare Lyle
,
A. Rupam Mahmood
RLJ, 2024

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers.
[BibTeX]
[DOI]
Gautham Vasan
,
Mohamed Elsayed
,
Seyed Alireza Azimi
,
Jiamin He
,
Fahim Shahriar
,
Colin Bellinger
,
Martha White
,
Rupam Mahmood
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning.
[BibTeX]
[DOI]
Mohamed Elsayed
,
Homayoon Farrahi
,
Felix Dangel
,
A. Rupam Mahmood
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.
[BibTeX]
[DOI]
Mohamed Elsayed
,
A. Rupam Mahmood
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning.
[BibTeX]
[DOI]
Mohamed Elsayed
,
A. Rupam Mahmood
CoRR, 2023

2022
HesScale: Scalable Computation of Hessian Diagonals.
[BibTeX]
[DOI]
Mohamed Elsayed
,
A. Rupam Mahmood
CoRR, 2022


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