E-LIB Suche - Ergebnisse für: Zhu, Zheqing

1

Correction to: Learning to bid and rank together in recomme..:

Ji, Geng ; Jiang, Wentao ; Li, Jiang...
Machine Learning. 113 (2024) 3 - p. 1509-1509 , 2024

Link: https://doi.org/10.1007/..

2

Scalable Neural Contextual Bandit for Recommender Systems:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Zhu, Zheqing ; Van Roy, Benjamin - p. 3636-3646 , 2023

Link: https://dl.acm.org/doi/1..

3

Optimizing Long-term Value for Auction-Based Recommender Sy..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,

Xu, Ruiyang ; Bhandari, Jalaj ; Korenkevych, Dmytro... - p. 955-962 , 2023

Link: https://dl.acm.org/doi/1..

4

Deep Exploration for Recommendation Systems:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,

Zhu, Zheqing ; Van Roy, Benjamin - p. 963-970 , 2023

Link: https://dl.acm.org/doi/1..

5

Learning to bid and rank together in recommendation systems:

Ji, Geng ; Jiang, Wentao ; Li, Jiang...
Machine Learning. 113 (2023) 5 - p. 2559-2573 , 2023

Link: https://doi.org/10.1007/..

6

Effect of big eye tuna (Thunnusobesus) head soup with diffe..:

Zhang, Jing ; Lin, Liu ; Tao, Ningping...
Food Science & Nutrition. 9 (2020) 2 - p. 1143-1151 , 2020

Link: https://doi.org/10.1002/..

7

Multi-Agent Safe Planning with Gaussian Processes:

, In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Zhu, Zheqing ; Biyik, Erdem ; Sadigh, Dorsa - p. 6260-6267 , 2020

Link: https://doi.org/10.1109/..

8

Evaluating Online Bandit Exploration In Large-Scale Recomme..:

Guo, Hongbo ; Naeff, Ruben ; Nikulkov, Alex.
http://arxiv.org/abs/2304.02572. , 2023

Link: http://arxiv.org/abs/230..

9

Scalable Neural Contextual Bandit for Recommender Systems:

Zhu, Zheqing ; Van Roy, Benjamin
http://arxiv.org/abs/2306.14834. , 2023

Link: http://arxiv.org/abs/230..

10

Pearl: A Production-ready Reinforcement Learning Agent:

Zhu, Zheqing ; Braz, Rodrigo de Salvo ; Bhandari, Jalaj...
http://arxiv.org/abs/2312.03814. , 2023

Link: http://arxiv.org/abs/231..

11

Offline Reinforcement Learning for Optimizing Production Bi..:

Korenkevych, Dmytro ; Cheng, Frank ; Balakir, Artsiom...
http://arxiv.org/abs/2310.09426. , 2023

Link: http://arxiv.org/abs/231..

12

Non-Stationary Contextual Bandit Learning via Neural Predic..:

Zhu, Zheqing ; Liu, Yueyang ; Kuang, Xu.
http://arxiv.org/abs/2310.07786. , 2023

Link: http://arxiv.org/abs/231..

13

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Pred..:

Chitnis, Rohan ; Xu, Yingchen ; Hashemi, Bobak...
http://arxiv.org/abs/2306.00867. , 2023

Link: http://arxiv.org/abs/230..

14

Optimizing Long-term Value for Auction-Based Recommender Sy..:

Xu, Ruiyang ; Bhandari, Jalaj ; Korenkevych, Dmytro...
http://arxiv.org/abs/2305.13747. , 2023

Link: http://arxiv.org/abs/230..

15

Two-tiered Online Optimization of Region-wide Datacenter Re..:

Chen, Chang-Lin ; Zhou, Hanhan ; Chen, Jiayu...
http://arxiv.org/abs/2306.17054. , 2023

Link: http://arxiv.org/abs/230..