| Multi-Agent Safe Planning with Gaussian Processes Z Zhu, E Biyik, D Sadigh 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 17* | 2020 |
| Scalable Neural Contextual Bandit for Recommender Systems Z Zhu, B Van Roy 32nd ACM International Conference on Information and Knowledge Management …, 2023 | 12 | 2023 |
| Evaluating Online Bandit Exploration In Large-Scale Recommender System H Guo, R Naeff, A Nikulkov, Z Zhu KDD-23 Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing …, 2023 | 11 | 2023 |
| Deep Exploration for Recommendation Systems Z Zhu, B Van Roy 17th ACM Conference on Recommender Systems (RecSys 2023), 2023 | 9 | 2023 |
| Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning R Xu, J Bhandari, D Korenkevych, F Liu, Y He, A Nikulkov, Z Zhu 17th ACM Conference on Recommender Systems (RecSys 2023), 2023 | 7 | 2023 |
| IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control Y Xu, R Chitnis, BT Hashemi, L Lehnert, U Dogan, Z Zhu, O Delalleau 2024 IEEE International Conference on Robotics and Automation, 2024 | 6* | 2024 |
| Two-tiered online optimization of region-wide datacenter resource allocation via deep reinforcement learning CL Chen, H Zhou, J Chen, M Pedramfar, V Aggarwal, T Lan, Z Zhu, ... arXiv preprint arXiv:2306.17054, 2023 | 6 | 2023 |
| Uncovering the global terrorism network J Alison*, L Deng*, Z Zhu* | 4* | 2017 |
| Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling Z Zhu, Y Liu, X Kuang, B Van Roy arXiv preprint arXiv:2310.07786, 2023 | 3 | 2023 |
| Pearl: A Production-ready Reinforcement Learning Agent Z Zhu, RS Braz, J Bhandari, D Jiang, Y Wan, Y Efroni, L Wang, R Xu, ... arXiv preprint arXiv:2312.03814, 2023 | 2 | 2023 |
| Offline Reinforcement Learning for Optimizing Production Bidding Policies D Korenkevych, F Cheng, A Balakir, A Nikulkov, L Gao, Z Cen, Z Xu, ... | 1 | 2023 |
| Uncertainty of Joint Neural Contextual Bandit H Guo, Z Zhu arXiv preprint arXiv:2406.02515, 2024 | | 2024 |
| Learning to bid and rank together in recommendation systems G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu Machine Learning 113 (5), 2559-2573, 2024 | | 2024 |
| Efficient Deep Reinforcement Learning for Recommender Systems Z Zhu https://searchworks.stanford.edu/view/in00000031069, 2023 | | 2023 |
Benjamin Van RoyStanford UniversityVerified email at stanford.edu
