Load dependent dynamic path selection in multi-radio hybrid wireless mesh networks RF Ali, AK Kiani, AA Pirzada 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2020-2025, 2014 | 16 | 2014 |
Energy-load aware routing metric for hybrid wireless mesh networks AK Kiani, RF Ali, U Rashid 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-5, 2015 | 14 | 2015 |
Hyperbolically discounted advantage estimation for generalization in reinforcement learning NM Nafi, RF Ali, W Hsu Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 10 | 2022 |
Network adaptive interference aware routing metric for hybrid wireless mesh networks U Ullah, AK Kiani, RF Ali, R Ahmad 2016 International Wireless Communications and Mobile Computing Conference …, 2016 | 8 | 2016 |
Analyzing the sensitivity to policy-value decoupling in deep reinforcement learning generalization NM Nafi, RF Ali, W Hsu Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 3 | 2022 |
Non-exponential reward discounting in reinforcement learning RF Ali Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16111 …, 2023 | 1 | 2023 |
Multi-horizon learning in procedurally-generated environments for off-policy reinforcement learning (student abstract) RF Ali, K Duong, NM Nafi, W Hsu Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16150 …, 2023 | 1 | 2023 |
Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning RF Ali, NM Nafi, K Duong, W Hsu Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 1 | 2022 |
Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning NM Nafi, RF Ali, W Hsu, K Duong, M Vick Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
Non-exponential reward discounting in deep reinforcement learning RF Ali | | 2024 |
Explainable Reinforcement Learning for Alzheimer’s Disease Progression Prediction. RF Ali, A Farooq, E Adeniji, J Woods, V Sun, W Hsu XAI in Action: Past, Present, and Future Applications, 2023 | | 2023 |