| Learning fair policies in multi-objective (deep) reinforcement learning with average and discounted rewards U Siddique, P Weng, M Zimmer International Conference on Machine Learning, 8905-8915, 2020 | 112 | 2020 |
| Learning fair policies in decentralized cooperative multi-agent reinforcement learning M Zimmer, C Glanois, U Siddique, P Weng International conference on machine learning, 12967-12978, 2021 | 71 | 2021 |
| Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions G Yu, U Siddique, P Weng Adaptive Learning Agents Workshop @ AAMAS, 2023 | 7 | 2023 |
| Multi-agent reinforcement learning for online food delivery with location privacy preservation S Abahussein, D Ye, C Zhu, Z Cheng, U Siddique, S Shen Information 14 (11), 597, 2023 | 6 | 2023 |
| Fair deep reinforcement learning with preferential treatment G Yu, U Siddique, P Weng European Conference on Artificial Intelligence, 2023 | 6 | 2023 |
| Fairness in Preference-based Reinforcement Learning U Siddique, A Sinha, Y Cao MFPL @ International Conference on Machine Learning, 1-8, 2023 | 6 | 2023 |
| Offline Reinforcement Learning with Failure Under Sparse Reward Environments M Wu, U Siddique, A Sinha, Y Cao 3rd International Conference on Computing and Machine Intelligence (ICMI), 1-5, 2024 | 3 | 2024 |
| On Deep Reinforcement Learning for Target Capture Autonomous Guidance U Siddique, A Sinha, Y Cao AIAA Guidance, Navigation, and Control Conference, 1-15, 2024 | 3 | 2024 |
| Opponent Transformer: Modeling Opponent Policies as a Sequence Problem C Wallace, U Siddique, Y Cao Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods …, 2024 | 1 | 2024 |
| Towards Fair and Equitable Policy Learning in Cooperative Multi-Agent Reinforcement Learning U Siddique, P Li, Y Cao Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods …, 2024 | 1 | 2024 |
| From fair solutions to compromise solutions in multi-objective deep reinforcement learning J Qian, U Siddique, G Yu, P Weng Neural Computing and Applications, 1-31, 2025 | | 2025 |
| From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation P Li, U Siddique, Y Cao arXiv preprint arXiv:2501.09858, 2025 | | 2025 |
| Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning U Siddique, P Li, Y Cao International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2025 | | 2025 |
| Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems U Siddique, A Sinha, Y Cao American Control Conference (ACC), 2025 | | 2025 |
| Fairness in Traffic Control: Decentralized Multi-agent Reinforcement Learning with Generalized Gini Welfare Functions U Siddique, P Li, Y Cao Multi-Agent reinforcement Learning for Transportation Autonomy, 2025 | | 2025 |
| Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems U Siddique, A Sinha, Y Cao arXiv:2409.19769, 1-7, 2024 | | 2024 |
| Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions G Yu, U Siddique, P Weng Autonomous Agents and Multiagent Systems. Best and Visionary Papers, 1-29, 2024 | | 2024 |
| Fair Deep Reinforcement Learning with Preferential Treatment G Yu, U Siddique, P Weng Advances in Preference Handling (M-PREF) @ IJCAI, 1-9, 2023 | | 2023 |
| Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning C Glanois, M Zimmer, U Siddique, P Weng Proceedings of Machine Learning Research 139, 2021 | | 2021 |
| Leaf Recognition Using Deep Convolutional Neural Networks Z Asaf, MU Siddique, MA Akram, MW Sabir, HMU Ali, DMU Akram | | |
Paul WengDuke Kunshan Universityبريد إلكتروني تم التحقق منه على duke.edu