A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. - Long Yang 004; Minhao Shi; Qian Zheng; Wenjia Meng; Gang Pan 001 (IJCAI, 2018)

Crux - A New Fast, Flexible and Decentralized Consensus Algorithm with High Fault Tolerance Rate. - Pengfei Li 005; Jingtian Peng; Long Yang 004; Qian Zheng; Gang Pan 001 (SmartBlock, 2018)

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. - Longxiang Shi; Shijian Li; Longbing Cao; Long Yang 004; Gang Pan 001 (AAMAS, 2019)

Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks. - Pengfei Li 005; Hua Lu 001; Gang Zheng 005; Qian Zheng; Long Yang 004; Gang Pan 001 (WWW, 2019)

Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning. - Long Yang 004; Yu Zhang 009; Qian Zheng; Pengfei Li 005; Gang Pan 001 (CoRR, 2019)

Maximum Entropy Reinforcement Learning with Evolution Strategies. - Longxiang Shi; Shijian Li; Qian Zheng; Longbing Cao; Long Yang 004; Gang Pan 001 (IJCNN, 2020)

LISA: A Learned Index Structure for Spatial Data. - Pengfei Li 005; Hua Lu 001; Qian Zheng; Long Yang 004; Gang Pan 001 (SIGMOD Conference, 2020)

Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network. - Wenjia Meng; Qian Zheng; Long Yang 004; Pengfei Li 005; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. - Long Yang 004; Qian Zheng; Gang Pan 001 (AAAI, 2021)

On Convergence of Gradient Expected Sarsa(λ). - Long Yang 004; Gang Zheng 005; Yu Zhang 009; Qian Zheng; Pengfei Li 005; Gang Pan 001 (AAAI, 2021)

Policy Optimization with Stochastic Mirror Descent. - Long Yang 004; Yu Zhang 009; Gang Zheng 005; Qian Zheng; Pengfei Li 005; Jianhang Huang; Gang Pan 001 (AAAI, 2022)

Penalized Proximal Policy Optimization for Safe Reinforcement Learning. - Linrui Zhang; Li Shen 008; Long Yang 004; Shixiang Chen; Xueqian Wang 001; Bo Yuan 003; Dacheng Tao (IJCAI, 2022)

Constrained Update Projection Approach to Safe Policy Optimization. - Long Yang 004; Jiaming Ji; Juntao Dai; Linrui Zhang; Binbin Zhou; Pengfei Li 005; Yaodong Yang 001; Gang Pan 001 (NeurIPS, 2022)

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning. - Long Yang 004; Jiaming Ji; Juntao Dai; Yu Zhang 009; Pengfei Li 005; Gang Pan 001 (CoRR, 2022)

A Review of Safe Reinforcement Learning: Methods, Theory and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Yaodong Yang 001; Alois C. Knoll (CoRR, 2022)

Augmented Proximal Policy Optimization for Safe Reinforcement Learning. - Juntao Dai; Jiaming Ji; Long Yang 004; Qian Zheng; Gang Pan 001 (AAAI, 2023)

Zeroth-order Optimization with Weak Dimension Dependency. - Pengyun Yue; Long Yang 004; Cong Fang 001; Zhouchen Lin (COLT, 2023)

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning. - Jiayi Guan; Guang Chen 001; Jiaming Ji; Long Yang 004; Ao Zhou 005; Zhijun Li 001; Changjun Jiang (NeurIPS, 2023)

Policy Representation via Diffusion Probability Model for Reinforcement Learning. - Long Yang 004; Zhixiong Huang; Fenghao Lei; Yucun Zhong; Yiming Yang; Cong Fang 001; Shiting Wen; Binbin Zhou; Zhouchen Lin (CoRR, 2023)

DILI: A Distribution-Driven Learned Index. - Pengfei Li 005; Hua Lu 001; Rong Zhu; Bolin Ding; Long Yang 004; Gang Pan 001 (Proc. VLDB Endow., 2023)

Safe multi-agent reinforcement learning for multi-robot control. - Shangding Gu; Jakub Grudzien Kuba; Yuanpei Chen; Yali Du 001; Long Yang 004; Alois C. Knoll; Yaodong Yang 001 (Artif. Intell., 2023)

A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit. - Long Yang 004; Zhao Li 007; Zehong Hu; Shasha Ruan; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Langevin Policy for Safe Reinforcement Learning. - Fenghao Lei; Long Yang 004; Shiting Wen; Zhixiong Huang; Zhiwang Zhang; Chaoyi Pang (ICML, 2024)

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. - Tianfu Wang 002; Qilin Fan; Chao Wang 086; Long Yang 004; Leilei Ding; Nicholas Jing Yuan; Hui Xiong 001 (IJCAI, 2024)

Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition. - Shihong Ding; Long Yang 004; Luo Luo; Cong Fang 001 (NeurIPS, 2024)

Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline. - Wenjia Meng; Qian Zheng; Long Yang 004; Yilong Yin; Gang Pan 001 (CoRR, 2024)

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. - Tianfu Wang 002; Long Yang 004; Chao Wang 086; Chuan Qin 002; Liwei Deng 001; Li Shen 008; Hui Xiong 001 (CoRR, 2024)

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Alois Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2024)