Deheng Ye

About Deheng Ye

Deheng Ye, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Applied machine learning, Large-scale systems, Reinforcement learning, Software analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

More agents is all you need

Affordable Generative Agents

HGAttack: Transferable Heterogeneous Graph Adversarial Attack

Mutual-Information Regularized Multi-Agent Policy Iteration

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

A survey on transformers in reinforcement learning

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

Replay-enhanced Continual Reinforcement Learning

Deheng Ye Information

University

Position

___

Citations(all)

1576

Citations(since 2020)

1405

Cited By

506

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Deheng Ye Skills & Research Interests

Applied machine learning

Large-scale systems

Reinforcement learning

Software analytics

Top articles of Deheng Ye

Title

Journal

Author(s)

Publication Date

More agents is all you need

arXiv preprint arXiv:2402.05120

Junyou Li

Qin Zhang

Yangbin Yu

Qiang Fu

Deheng Ye

2024/2/3

Affordable Generative Agents

arXiv preprint arXiv:2402.02053

Yangbin Yu

Qin Zhang

Junyou Li

Qiang Fu

Deheng Ye

2024/2/3

HGAttack: Transferable Heterogeneous Graph Adversarial Attack

arXiv preprint arXiv:2401.09945

He Zhao

Zhiwei Zeng

Yongwei Wang

Deheng Ye

Chunyan Miao

2024/1/18

Mutual-Information Regularized Multi-Agent Policy Iteration

Advances in Neural Information Processing Systems

Deheng Ye

Zongqing Lu

2024/2/13

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

Advances in Neural Information Processing Systems

Yun Qu

Boyuan Wang

Jianzhun Shao

Yuhang Jiang

Chen Chen

...

2024/2/13

A survey on transformers in reinforcement learning

arXiv preprint arXiv:2301.03044

Wenzhe Li

Hao Luo

Zichuan Lin

Chongjie Zhang

Zongqing Lu

...

2023/1/8

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

IEEE Transactions on Neural Networks and Learning Systems

Tiantian Zhang

Zichuan Lin

Yuxing Wang

Deheng Ye

Qiang Fu

...

2023/6/7

Replay-enhanced Continual Reinforcement Learning

Transactions on Machine Learning Research

Tiantian Zhang

Kevin Zehua Shen

Zichuan Lin

Bo Yuan

Xueqian Wang

...

2023/11/20

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics

Dehai Zhao

Zhenchang Xing

Xin Xia

Deheng Ye

Xiwei Xu

...

2023/5/14

Llm-based agent society investigation: Collaboration and confrontation in avalon gameplay

arXiv preprint arXiv:2310.14985

Yihuai Lan

Zhiqiang Hu

Lei Wang

Yang Wang

Deheng Ye

...

2023/10/23

Deploying Offline Reinforcement Learning with Human Feedback

arXiv preprint arXiv:2303.07046

Ziniu Li

Ke Xu

Liu Liu

Lanqing Li

Deheng Ye

...

2023/3/13

Rltf: Reinforcement learning from unit test feedback

arXiv preprint arXiv:2307.04349

Jiate Liu

Yiqin Zhu

Kaiwen Xiao

Qiang Fu

Xiao Han

...

2023/7/10

Sample dropout: A simple yet effective variance reduction technique in deep policy optimization

arXiv preprint arXiv:2302.02299

Zichuan Lin

Xiapeng Wu

Mingfei Sun

Deheng Ye

Qiang Fu

...

2023/2/5

Future-conditioned unsupervised pretraining for decision transformer

Zhihui Xie

Zichuan Lin

Deheng Ye

Qiang Fu

Yang Wei

...

2023/7/3

HoK3v3: an Environment for Generalization in Heterogeneous Multi-agent Reinforcement Learning

Lin Liu

Jianzhun Shao

Xinkai Chen

Yun Qu

Boyuan Wang

...

2023/12/12

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning

arXiv preprint arXiv:2301.08442

Haoxuan Pan

Deheng Ye

Xiaoming Duan

Qiang Fu

Wei Yang

...

2023/1/20

RLogist: fast observation strategy on whole-slide images with deep reinforcement learning

Proceedings of the AAAI Conference on Artificial Intelligence

Boxuan Zhao

Jun Zhang

Deheng Ye

Jian Cao

Xiao Han

...

2023/6/26

Master–Slave Deep Architecture for Top- Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints

IEEE Transactions on Neural Networks and Learning Systems

Hanchi Huang

Li Shen

Deheng Ye

Wei Liu

2023/11/24

More centralized training, still decentralized execution: Multi-agent conditional policy factorization

arXiv preprint arXiv:2209.12681

Jiangxing Wang

Deheng Ye

Zongqing Lu

2022/9/26

Revisiting discrete soft actor-critic

arXiv preprint arXiv:2209.10081

Haibin Zhou

Zichuan Lin

Junyou Li

Qiang Fu

Wei Yang

...

2022/9/21

See List of Professors in Deheng Ye University(Nanyang Technological University)

Co-Authors

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