Mohamed Elsayed

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2024 A* conf
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.
ICLR
Mohamed Elsayed, A. Rupam Mahmood
2024 J jnl
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.
CoRR
Mohamed Elsayed, A. Rupam Mahmood
2024 A* conf
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers.
NeurIPS
Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, Rupam Mahmood
2024 J jnl
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers.
CoRR
Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood
2024 A* conf
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning.
ICML
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood
2024 J jnl
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning.
CoRR
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood
2024 J jnl
Streaming Deep Reinforcement Learning Finally Works.
CoRR
Mohamed Elsayed, Gautham Vasan, A. Rupam Mahmood
2024 J jnl
Weight Clipping for Deep Continual and Reinforcement Learning.
RLJ
Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
2024 J jnl
Weight Clipping for Deep Continual and Reinforcement Learning.
CoRR
Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
2023 J jnl
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning.
CoRR
Mohamed Elsayed, A. Rupam Mahmood
2022 J jnl
HesScale: Scalable Computation of Hessian Diagonals.
CoRR
Mohamed Elsayed, A. Rupam Mahmood