Mohamed Elsayed

According to our database, Mohamed Elsayed authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Extending Differential Temporal Difference Methods for Episodic Problems.

Kris De Asis, Mohamed Elsayed, Jiamin He

CoRR, May, 2026

Intentional Updates for Streaming Reinforcement Learning.

Arsalan Sharifnassab, Mohamed Elsayed, Kris De Asis, A. Rupam Mahmood, Richard S. Sutton

CoRR, April, 2026

2024

Streaming Deep Reinforcement Learning Finally Works.

Mohamed Elsayed, Gautham Vasan, A. Rupam Mahmood

CoRR, 2024

Weight Clipping for Deep Continual and Reinforcement Learning.

Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood

RLJ, 2024

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers.

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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning.

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.

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.

Mohamed Elsayed, A. Rupam Mahmood

CoRR, 2023

2022

HesScale: Scalable Computation of Hessian Diagonals.

Mohamed Elsayed, A. Rupam Mahmood

CoRR, 2022