| Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... arXiv preprint arXiv:2010.09776, 2020 | 306* | 2020 |
| Addressing loss of plasticity and catastrophic forgetting in continual learning M Elsayed, AR Mahmood arXiv preprint arXiv:2404.00781, 2024 | 64* | 2024 |
| Revisiting scalable hessian diagonal approximations for applications in reinforcement learning M Elsayed, H Farrahi, F Dangel, AR Mahmood arXiv preprint arXiv:2406.03276, 2024 | 22* | 2024 |
| Weight clipping for deep continual and reinforcement learning M Elsayed, Q Lan, C Lyle, AR Mahmood arXiv preprint arXiv:2407.01704, 2024 | 21 | 2024 |
| Streaming deep reinforcement learning finally works M Elsayed, G Vasan, AR Mahmood arXiv preprint arXiv:2410.14606, 2024 | 16* | 2024 |
| Linear and nonlinear feature extraction for neural seizure detection MA Elgammal, OA Elkhouly, H Elhosary, M Elsayed, AN Mohieldin, ... 2018 IEEE 61st International Midwest Symposium on Circuits and Systems …, 2018 | 13 | 2018 |
| Deep policy gradient methods without batch updates, target networks, or replay buffers G Vasan, M Elsayed, SA Azimi, J He, F Shahriar, C Bellinger, M White, ... Advances in Neural Information Processing Systems 37, 845-891, 2024 | 11 | 2024 |
| ULTRA: A reinforcement learning generalization benchmark for autonomous driving M Elsayed, K Hassanzadeh, NM Nguyen, M Alban, X Zhu, D Graves, ... Proceedings of the 34th International Conference on Neural Information …, 2020 | 8 | 2020 |
| Investigating Generate and Test for Online Representation Search with Softmax Outputs M Elsayed | 2 | 2022 |
| Sequence Learning from Continuous Streams of Data M Elsayed, AR Mahmood | | |
A. Rupam MahmoodUniversity of Alberta, AmiiVerified email at ualberta.ca
