Deheng Ye

发表

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning pdf

Hao Wu, Peilin Zhao, Mingfei Sun, 2019, AAAI.

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning pdf

Hao Wu, Liang Wang, Wei Yang, 2019, AAAI.

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

Xueqian Wang, Deheng Ye, Qiang Fu, 2022, ArXiv.

Pretraining in Deep Reinforcement Learning: A Survey

Shuai Li, Deheng Ye, Zichuan Lin, 2022, ArXiv.

Curriculum-Based Asymmetric Multi-Task Reinforcement Learning

W. Liu, Deheng Ye, Li Shen, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Quantized Adaptive Subgradient Algorithms and Their Applications

Jianqiao Wangni, Jiaxiang Wu, P. Zhao, 2022, ArXiv.

A Survey on Transformers in Reinforcement Learning

Chongjie Zhang, Deheng Ye, Zichuan Lin, 2023, ArXiv.

Boosting Offline Reinforcement Learning with Residual Generative Modeling

Hao Wu, Wei Yang, Hua Wei, 2021, IJCAI.

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Yong Yu, Menghui Zhu, Wei Yang, 2021, IJCAI.

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

Liang Wang, Deheng Ye, Bo Yuan, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation

Kelvin Xu, P. Zhao, Deheng Ye, 2022, ArXiv.

Towards Playing Full MOBA Games with Deep Reinforcement Learning

Bo Liu, Deheng Ye, Zhao Liu, 2020, NeurIPS.

Deploying Offline Reinforcement Learning with Human Feedback

Kelvin Xu, P. Zhao, Deheng Ye, 2023, ArXiv.

Relation-Aware Transformer for Portfolio Policy Learning

Ke Xu, Mingkui Tan, Deheng Ye, 2020, IJCAI.

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned

Anssi Kanervisto, A. Shpilman, Deheng Ye, 2022, NeurIPS.

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning pdf

Junyou Li, Wei Yang, Zichuan Lin, 2021, IJCAI.

Coordinated Proximal Policy Optimization pdf

Hankz Hankui Zhuo, Junge Zhang, Haiyin Piao, 2021, NeurIPS.

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Deheng Ye, Zongqing Lu, Jiangxing Wang, 2022, ICLR.

Learning Diverse Policies in MOBA Games via Macro-Goals pdf

Bei Shi, Wei Yang, Guoan Han, 2021, NeurIPS.

A Survey on Transformers in Reinforcement Learning

Chongjie Zhang, Deheng Ye, Zichuan Lin, 2023, ArXiv.

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search

Menghui Zhu, Wei Yang, Weinan Zhang, 2020, IEEE Transactions on Games.

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

Xueqian Wang, Deheng Ye, Qiang Fu, 2022, IEEE transactions on neural networks and learning systems.

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning

Hua Wei, Deheng Ye, Liang Wang, 2022, NeurIPS.

Revisiting Discrete Soft Actor-Critic

Deheng Ye, Qiang Fu, Wei Yang, 2022, ArXiv.

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations pdf

Shiyu Huang, Ting Chen, Deheng Ye, 2021, ArXiv.

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)

P. Zhao, Mingkui Tan, Deheng Ye, 2020, IJCAI.

GPN: A Joint Structural Learning Framework for Graph Neural Networks

P. Zhao, Deheng Ye, Tingyang Xu, 2022, ArXiv.

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints

Deheng Ye, Wei Liu, Li Shen, 2023, ArXiv.

RLTF: Reinforcement Learning from Unit Test Feedback

Deheng Ye, Qiang Fu, Wei Yang, 2023, arXiv.org.

Relation-Aware Transformer for Portfolio Policy Learning

P. Zhao, Mingkui Tan, Deheng Ye, 2020, IJCAI.

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization

Deheng Ye, Qiang Fu, Wei Yang, 2023, ArXiv.

A Survey on Transformers in Reinforcement Learning

Chongjie Zhang, Deheng Ye, Zichuan Lin, 2023, ArXiv.

Revisiting Discrete Soft Actor-Critic

Deheng Ye, Qiang Fu, Wei Yang, 2022, ArXiv.

Future-conditioned Unsupervised Pretraining for Decision Transformer

Shuai Li, Deheng Ye, Qiang Fu, 2023, ICML.

Replay-enhanced Continual Reinforcement Learning

Deheng Ye, Zichuan Lin, Bo Yuan, 2023, ArXiv.

RLTF: Reinforcement Learning from Unit Test Feedback

Deheng Ye, Qiang Fu, Wei Yang, 2023, ArXiv.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Diego Perez Liebana, William H. Guss, Alec Radford, 2022 .

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

Deheng Ye, Qiang Fu, Wei Yang, 2022, AAAI.

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models

Deheng Ye, Fuxiang Zhang, Zongzhang Zhang, 2024, ArXiv.