Yihuan Mao

According to our database, Yihuan Mao authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems.

Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-agent Systems.

Yihuan Mao, Yipeng Kang, Peilun Li, Wei Xu, Chongjie Zhang

Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

MOORe: Model-based Offline-to-Online Reinforcement Learning.

Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang

CoRR, 2022

2021

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, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

CoRR, 2021

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

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

2020

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, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark.

Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019