Paul Weng
Shanghai Jiao Tong University
H-index: 22
Asia-China
Top articles of Paul Weng
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Generalization in deep rl for tsp problems via equivariance and local search | SN Computer Science | Wenbin Ouyang Yisen Wang Paul Weng Shaochen Han | 2024/4 |
Revisiting Data Augmentation in Deep Reinforcement Learning | arXiv preprint arXiv:2402.12181 | Jianshu Hu Yunpeng Jiang Paul Weng | 2024/2/19 |
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer | arXiv preprint arXiv:2402.02317 | Han Fang Zhihao Song Paul Weng Yutong Ban | 2024/2/4 |
A survey on interpretable reinforcement learning | Machine Learning | Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang | 2024/4/19 |
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning | Zhaohui Jiang Paul Weng | 2023/9/18 | |
Analytics and machine learning in vehicle routing research | International Journal of Production Research | Ruibin Bai Xinan Chen Zhi-Long Chen Tianxiang Cui Shuhui Gong | 2023/1/2 |
Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning | Thi Quynh Trang Vo Mourad Baiou Viet Hung Nguyen Paul Weng | 2023/6/4 | |
Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions | Guanbao Yu Umer Siddique Paul Weng | 2023 | |
CVaR-Regret Bounds for Multi-Armed Bandits | Chenmien Tan Paul Weng | 2023/4/13 | |
A survey of reinforcement learning from human feedback | arXiv preprint arXiv:2312.14925 | Timo Kaufmann Paul Weng Viktor Bengs Eyke Hüllermeier | 2023/12/22 |
Learning rewards to optimize global performance metrics in deep reinforcement learning | arXiv preprint arXiv:2303.09027 | Junqi Qian Paul Weng Chenmien Tan | 2023/3/16 |
Generalizable Deep RL-Based TSP Solver via Approximate Invariance | Han Fang Zhihao Song Paul Weng | 2023/10/13 | |
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning | Jianshu Hu Paul Weng | 2023/3/6 | |
Safe distributional reinforcement learning | Jianyi Zhang Paul Weng | 2022 | |
A comparative study of linearization methods for Ordered Weighted Average | Thi Quynh Trang Vo Mourad Baiou Viet Hung Nguyen Paul Weng | 2022/9/19 | |
Planning with Q-Values in Sparse Reward Reinforcement Learning | Hejun Lei Paul Weng Juan Rojas Yisheng Guan | 2022/8/1 | |
Neuro-symbolic hierarchical rule induction | Claire Glanois Zhaohui Jiang Xuening Feng Paul Weng Matthieu Zimmer | 2022/6/28 | |
An interpretable deep reinforcement learning approach to autonomous driving | IJCAI Workshop on Artificial Intelligence for Automous Driving | Zhihao Song Yunpeng Jiang Jianyi Zhang Paul Weng Dong Li | 2022 |
Differentiable logic machines | arXiv preprint arXiv:2102.11529 | Matthieu Zimmer Xuening Feng Claire Glanois Zhaohui Jiang Jianyi Zhang | 2021/2/23 |
Improving generalization of deep reinforcement learning-based tsp solvers | Wenbin Ouyang Yisen Wang Shaochen Han Zhejian Jin Paul Weng | 2021/12/5 |
Co-Authors
