Qingfeng Lan 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	300	299
h 指数	8	8
i10 指数	6	6

120

2019202020212022202320242 17 41 57 80 102

开放获取的出版物数量

查看全部

1 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

A. Rupam MahmoodUniversity of Alberta, Amii在 ualberta.ca 的电子邮件经过验证
Yangchen PanUniversity of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of Alberta在 ualberta.ca 的电子邮件经过验证
Martha WhiteUniversity of Alberta在 ualberta.ca 的电子邮件经过验证
Shibhansh DoharePhD Student, University of Alberta在 ualberta.ca 的电子邮件经过验证
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
Haque IshfaqPhD Student, MILA, McGill University在 mail.mcgill.ca 的电子邮件经过验证
Pan XuDuke University在 duke.edu 的电子邮件经过验证
J. Fernando Hernandez-GarciaGraduate Student, University of Alberta在 ualberta.ca 的电子邮件经过验证
Richard S. SuttonKeen, Amii, and University of Alberta在 richsutton.com 的电子邮件经过验证
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
Kamyar AzizzadenesheliNvidia在 nvidia.com 的电子邮件经过验证
Samuele TosattoAssistant Professor @ Universität Innsbruck在 uibk.ac.at 的电子邮件经过验证
Zichen Vincent ZhangPhD Candidate in Computing Science, University of Alberta在 ualberta.ca 的电子邮件经过验证
Shuicheng Yan, Fellow of AAAI, ACM,...Kunlun 2050 Research & Skywork AI, previously Sea AI Lab, Singapore在 kunlun-inc.com 的电子邮件经过验证
Zhongwen XuTencent在 tencent.com 的电子邮件经过验证
Yixin TanDuke University在 duke.edu 的电子邮件经过验证
Jianfeng Lu 鲁剑锋Department of Mathematics, Department of Chemistry and Department of Physics, Duke University在 math.duke.edu 的电子邮件经过验证
Luke KumarSenior Applied Research Scientist at ServiceNow Research在 ualberta.ca 的电子邮件经过验证
Yu YangDuke University在 duke.edu 的电子邮件经过验证

关注

Qingfeng Lan

PhD student @ University of Alberta

在 ualberta.ca 的电子邮件经过验证 - 首页

Reinforcement Learning Continual Learning Representation Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Maxmin Q-learning: Controlling the estimation bias of Q-learning Q Lan, Y Pan, A Fyshe, M White International Conference on Learning Representations (ICLR), 2020	189	2020
Variational quantum soft actor-critic Q Lan arXiv preprint arXiv:2112.11921, 2021	18	2021
A deep top-k relevance matching model for ad-hoc retrieval Z Yang, Q Lan, J Guo, Y Fan, X Zhu, Y Lan, Y Wang, X Cheng China Conference on Information Retrieval (CCIR), 2018	16	2018
Loss of plasticity in deep continual learning S Dohare, JF Hernandez-Garcia, Q Lan, P Rahman, AR Mahmood, ... Nature 632 (8026), 768-774, 2024	14	2024
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo H Ishfaq, Q Lan, P Xu, AR Mahmood, D Precup, A Anandkumar, ... International Conference on Learning Representations (ICLR), 2024	12	2024
Overcoming policy collapse in deep reinforcement learning S Dohare, Q Lan, AR Mahmood European Workshop on Reinforcement Learning (EWRL), 2023	10	2023
Memory-efficient reinforcement learning with value-based knowledge consolidation Q Lan, Y Pan, J Luo, AR Mahmood Transactions on Machine Learning Research (TMLR), 2023	9*	2023
Model-free Policy Learning with Reward Gradients Q Lan, S Tosatto, H Farrahi, AR Mahmood International Conference on Artificial Intelligence and Statistics (AISTATS), 2022	9	2022
Reducing selection bias in counterfactual reasoning for individual treatment effects estimation Z Zhang, Q Lan, L Ding, Y Wang, N Hassanpour, R Greiner NeurIPS 2019 CausalML Workshop, 2019	8	2019
A PyTorch Reinforcement Learning Framework for Exploring New Ideas Q Lan https://github.com/qlan3/Explorer, 2019	7	2019
Learning to Optimize for Reinforcement Learning Q Lan, AR Mahmood, S Yan, Z Xu Reinforcement Learning Conference (RLC), 2024	6	2024
Elephant Neural Networks: Born to Be a Continual Learner Q Lan, AR Mahmood ICML Workshop on High-dimensional Learning Dynamics, 2023	2	2023
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling I Haque, Y Tan, Y Yang, Q Lan, J Lu, AR Mahmood, D Precup, P Xu Reinforcement Learning Conference (RLC), 2024		2024
Weight Clipping for Deep Continual and Reinforcement Learning M Elsayed, Q Lan, C Lyle, AR Mahmood Reinforcement Learning Conference (RLC), 2024		2024
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling H Ishfaq, Y Tan, Y Yang, Q Lan, J Lu, AR Mahmood, D Precup, P Xu Reinforcement Learning Conference (RLC), 2024		2024
Predictive Representation Learning for Language Modeling Q Lan, L Kumar, M White, A Fyshe arXiv preprint arXiv:2105.14214, 2021		2021
Gym Compatible Games for Reinforcement Learning Q Lan https://github.com/qlan3/gym-games, 2019		2019

系统目前无法执行此操作，请稍后再试。

文章 1–17

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用