Jianzhun Shao

Researcher, Alibaba Group

Joined

February 2020

Names

Jianzhun Shao (Preferred)

Emails

****@mails.tsinghua.edu.cn (Confirmed)

****@126.com (Confirmed)

****@alibaba-inc.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Alibaba Group (alibaba-inc.com)

2024 – Present

PhD student

Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2018 – 2024

Advisors, Relations & Conflicts

Coauthor

Yuhang Jiang

2019 – Present

Coauthor

Hongchang Zhang

2019 – Present

PhD Advisor

Xiangyang Ji

2018 – Present

Coauthor

Gu Wang

2019 – 2020

Coauthor

Zhigang Li

2019 – 2020

Expertise

multi-agent reinforcement learning

2019 – Present

offline reinforcement learning

2019 – Present

reinforcement learning

2018 – Present

pose estimation

2018 – 2020

Publications

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Chang Liu, Cheems Wang, Xiangyang Ji
- Submitted to ICLR 2025
- Readers: Everyone
LLM-Empowered State Representation for Reinforcement Learning
Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji
- ICML 2024 Poster
- Readers: Everyone
Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model
Shuncheng He, Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Xiangyang Ji
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Jun Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, QIANG FU, YANG GUANG, Yang Wei, Lanxiao Huang, Xiangyang Ji
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
HoK3v3: an Environment for Generalization in Heterogeneous Multi-agent Reinforcement Learning
Lin Liu, Jianzhun Shao, Xinkai Chen, Yun Qu, Boyuan Wang, Zhenbin Ye, Yuexuan Tu, Hongyang Qin, Yang Jun Feng, Lin Lai, Yuanqin Wang, Meng Meng, Wenjun Wang, Xiyang Ji, QIANG FU, Lanxiao Huang, Minwen Deng, Yang Wei, Houqiang Li, Wengang Zhou et al. (7 additional authors not shown)
- Submitted to NeurIPS 2023 Datasets and Benchmarks
- Readers: Everyone
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
- NeurIPS 2023 poster
- Readers: Everyone
Complementary Attention for Multi-Agent Reinforcement Learning
Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji
- ICML 2023 Poster
- Readers: Everyone
Consciousness-Aware Multi-Agent Reinforcement Learning
Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Pessimistic Policy Iteration for Offline Reinforcement Learning
Hongchang Zhang, Boyuan Wang, Yixiu Mao, Jianzhun Shao, Yuhang Jiang, Yi Xu, Xiangyang Ji
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

View all 22 publications

Co-Authors

View all 48 co-authors