Long Yang

39 papers A* 14A 1B 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization.
ICML
Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin
2025 J jnl
Off-OAB: Off-Policy Policy Gradient Method With Optimal Action-Dependent Baseline.
IEEE Trans. Neural Networks Learn. Syst.
Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, Gang Pan
2024 J jnl
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll
2024 A* conf
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.
IJCAI
Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
2024 J jnl
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.
CoRR
Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
2024 A* conf
Langevin Policy for Safe Reinforcement Learning.
ICML
Fenghao Lei, Long Yang, Shiting Wen, Zhixiong Huang, Zhiwang Zhang, Chaoyi Pang
2024 J jnl
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline.
CoRR
Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, Gang Pan
2024 A* conf
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition.
NeurIPS
Shihong Ding, Long Yang, Luo Luo, Cong Fang
2024 J jnl
Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.
CoRR
Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong
2023 J jnl
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit.
IEEE Trans. Neural Networks Learn. Syst.
Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Gang Pan
2023 A* conf
Augmented Proximal Policy Optimization for Safe Reinforcement Learning.
AAAI
Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan
2023 J jnl
DILI: A Distribution-Driven Learned Index.
CoRR
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
2023 J jnl
DILI: A Distribution-Driven Learned Index.
Proc. VLDB Endow.
Pengfei Li, Hua Lu, Rong Zhu, Bolin Ding, Long Yang, Gang Pan
2023 J jnl
Policy Representation via Diffusion Probability Model for Reinforcement Learning.
CoRR
Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin
2023 J jnl
Safe multi-agent reinforcement learning for multi-robot control.
Artif. Intell.
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
2023 A* conf
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning.
NeurIPS
Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang
2023 A* conf
Zeroth-order Optimization with Weak Dimension Dependency.
COLT
Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin
2022 J jnl
A Review of Safe Reinforcement Learning: Methods, Theory and Applications.
CoRR
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
2022 J jnl
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.
CoRR
Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan
2022 A* conf
Constrained Update Projection Approach to Safe Policy Optimization.
NeurIPS
Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
2022 J jnl
Constrained Update Projection Approach to Safe Policy Optimization.
CoRR
Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
2022 A* conf
Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
IJCAI
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao
2022 J jnl
Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
CoRR
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan, Xueqian Wang, Dacheng Tao
2022 A* conf
Policy Optimization with Stochastic Mirror Descent.
AAAI
Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan
2021 A* conf
On Convergence of Gradient Expected Sarsa(λ).
AAAI
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2021 A* conf
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points.
AAAI
Long Yang, Qian Zheng, Gang Pan
2020 — conf
LISA: A Learned Index Structure for Spatial Data.
SIGMOD Conference
Pengfei Li, Hua Lu, Qian Zheng, Long Yang, Gang Pan
2020 B conf
Maximum Entropy Reinforcement Learning with Evolution Strategies.
IJCNN
Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan
2020 J jnl
On Convergence of Gradient Expected Sarsa(λ).
CoRR
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2020 J jnl
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network.
IEEE Trans. Neural Networks Learn. Syst.
Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan
2020 J jnl
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points.
CoRR
Long Yang, Qian Zheng, Gang Pan
2019 A* conf
Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks.
WWW
Pengfei Li, Hua Lu, Gang Zheng, Qian Zheng, Long Yang, Gang Pan
2019 J jnl
Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning.
CoRR
Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2019 A conf
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning.
AAMAS
Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan
2019 J jnl
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning.
CoRR
Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan
2018 A* conf
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning.
IJCAI
Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan
2018 J jnl
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning.
CoRR
Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan
2018 — conf
Crux - A New Fast, Flexible and Decentralized Consensus Algorithm with High Fault Tolerance Rate.
SmartBlock
Pengfei Li, Jingtian Peng, Long Yang, Qian Zheng, Gang Pan
2018 J jnl
Qualitative Measurements of Policy Discrepancy for Return-based Deep Q-Network.
CoRR
Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan