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ORCIDLong Yang 0004
Person information
- affiliation: Peking University, School of Artificial Intelligence, Institute for AI, Beijing, China
- affiliation (PhD 2021): Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Long Yang — disambiguation page
- Long Yang 0001
![[0000-0001-8964-9196]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8964-9196")
— Northwest A&F University, College of Information Engineering, China (and 1 more) - Long Yang 0002 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Long Yang 0003 — Shandong Agricultural University, College of Plant Protection, Tai'an, China (and 2 more)
- Long Yang 0005 — Northwestern Polytechnical University, School of Marine Science and Technology, Shaanxi Key Laboratory of Underwater Information Technology, Xi'an, China (and 2 more)
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2020 – today
- 2024
[j5]Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll:
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11216-11235 (2024)- [c17]Fenghao Lei, Long Yang, Shiting Wen, Zhixiong Huang, Zhiwang Zhang, Chaoyi Pang:
Langevin Policy for Safe Reinforcement Learning. ICML 2024 - [c16]Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong:
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. IJCAI 2024: 2406-2414 - [c15]Shihong Ding, Long Yang, Luo Luo, Cong Fang:
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition. NeurIPS 2024 - [i15]Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong:
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. CoRR abs/2404.12633 (2024) - [i14]Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, Gang Pan:
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline. CoRR abs/2405.02572 (2024) - [i13]Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong:
Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. CoRR abs/2410.22999 (2024) - 2023
- [j4]Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang:
Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. 319: 103905 (2023) - [j3]Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan:
DILI: A Distribution-Driven Learned Index. Proc. VLDB Endow. 16(9): 2212-2224 (2023) - [j2]Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Gang Pan:
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5332-5341 (2023) - [c14]Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan:
Augmented Proximal Policy Optimization for Safe Reinforcement Learning. AAAI 2023: 7288-7295 - [c13]Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin:
Zeroth-order Optimization with Weak Dimension Dependency. COLT 2023: 4429-4472 - [c12]Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang:
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning. NeurIPS 2023 - [i12]Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan:
DILI: A Distribution-Driven Learned Index. CoRR abs/2304.08817 (2023) - [i11]Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin:
Policy Representation via Diffusion Probability Model for Reinforcement Learning. CoRR abs/2305.13122 (2023) - 2022
- [c11]Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan:
Policy Optimization with Stochastic Mirror Descent. AAAI 2022: 8823-8831 - [c10]Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao:
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. IJCAI 2022: 3744-3750 - [c9]Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan:
Constrained Update Projection Approach to Safe Policy Optimization. NeurIPS 2022 - [i10]Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan:
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning. CoRR abs/2202.07565 (2022) - [i9]Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll:
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR abs/2205.10330 (2022) - [i8]Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. CoRR abs/2205.11814 (2022) - [i7]Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan:
Constrained Update Projection Approach to Safe Policy Optimization. CoRR abs/2209.07089 (2022) - 2021
- [c8]Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
On Convergence of Gradient Expected Sarsa(λ). AAAI 2021: 10621-10629 - [c7]Long Yang, Qian Zheng, Gang Pan:
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. AAAI 2021: 10630-10638 - 2020
- [j1]Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan:
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4374-4380 (2020) - [c6]Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan:
Maximum Entropy Reinforcement Learning with Evolution Strategies. IJCNN 2020: 1-8 - [c5]Pengfei Li, Hua Lu, Qian Zheng, Long Yang, Gang Pan:
LISA: A Learned Index Structure for Spatial Data. SIGMOD Conference 2020: 2119-2133 - [i6]Long Yang, Qian Zheng, Gang Pan:
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. CoRR abs/2012.01491 (2020) - [i5]Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
On Convergence of Gradient Expected Sarsa(λ). CoRR abs/2012.07199 (2020)
2010 – 2019
- 2019
- [c4]Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. AAMAS 2019: 1025-1032 - [c3]Pengfei Li, Hua Lu, Gang Zheng, Qian Zheng, Long Yang, Gang Pan:
Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks. WWW 2019: 995-1005 - [i4]Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. CoRR abs/1905.07237 (2019) - [i3]Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning. CoRR abs/1909.02877 (2019) - 2018
- [c2]Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan:
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. IJCAI 2018: 2984-2990 - [c1]Pengfei Li, Jingtian Peng, Long Yang, Qian Zheng, Gang Pan:
Crux - A New Fast, Flexible and Decentralized Consensus Algorithm with High Fault Tolerance Rate. SmartBlock 2018: 66-76 - [i2]Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan:
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. CoRR abs/1802.03171 (2018) - [i1]Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan:
Qualitative Measurements of Policy Discrepancy for Return-based Deep Q-Network. CoRR abs/1806.06953 (2018)
Coauthor Index
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