Yihuan Mao

PhD student, Tsinghua University

Joined

September 2022

Names

Yihuan Mao (Preferred)

Emails

****@qq.com (Confirmed)

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

Personal Links

Homepage

DBLP

Career & Education History

PhD student

Tsinghua University (mails.tsinghua.edu.cn)

2020 – Present

Undergrad student

Tsinghua University (mails.tsinghua.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Chongjie Zhang

Present

Expertise

No areas of expertise listed

Publications

OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration
Yiqin Yang, Hao Hu, Yihuan Mao, Jin Zhang, Chengjie Wu, Yuhua Jiang, Xu Yang, Runpeng Xie, Yi Fan, Bo Liu, Yang Gao, Bo XU, Chongjie Zhang
- ICLR 2026 Poster
- Readers: Everyone
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
Yihuan Mao, Chongjie Zhang
- NeurIPS 2025 poster
- Readers: Everyone
Fewer Questions, Better Answers: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration
Hao Hu, Yiqin Yang, Yihuan Mao, Jin Zhang, Chengjie Wu, Yuhua Jiang, Yi Fan, Bo Liu, Yang Gao, Bo XU, Chongjie Zhang
- Submitted to ICLR 2025
- Readers: Everyone
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
- ICLR 2024 poster
- Readers: Everyone
Offline Communication Learning with Multi-source Datasets
Yihuan Mao, Rui Hu, Lulu Zheng, Jianhao Wang, Chongjie Zhang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
MOORe: Model-based Offline-to-Online Reinforcement Learning
Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang
- 2022 (modified: 18 Apr 2023)
- CoRR 2022
- Readers: Everyone
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
Towards robust and domain agnostic reinforcement learning competitions
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz et al. (9 additional authors not shown)
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
- 2021 (modified: 31 Mar 2022)
- DAI 2021
- Readers: Everyone
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz et al. (9 additional authors not shown)
- 2020 (modified: 31 Mar 2022)
- NeurIPS (Competition and Demos) 2020
- Readers: Everyone

View all 14 publications

Co-Authors

View all 67 co-authors