Elsayed, Mohamed

6 publications

ICLR 2024 Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning Mohamed Elsayed, A. Rupam Mahmood

NeurIPS 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar, Colin Bellinger, Martha White, A. Rupam Mahmood

NeurIPSW 2024 Deep Reinforcement Learning Without Experience Replay, Target Networks, or Batch Updates Mohamed Elsayed, Gautham Vasan, A. Rupam Mahmood

ICML 2024 Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood

NeurIPSW 2023 Utility-Based Perturbed Gradient Descent: An Optimizer for Continual Learning Mohamed Elsayed, A. Rupam Mahmood

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang