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Yazhe Niu
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2020 – today
- 2024
- [c6]Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. AAAI 2024: 16908-16916 - [i9]Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Yu Liu, Jing Yang:
ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze. CoRR abs/2404.16364 (2024) - [i8]Yuan Pu, Yazhe Niu, Jiyuan Ren, Zhenjie Yang, Hongsheng Li, Yu Liu:
UniZero: Generalized and Efficient Planning with Scalable Latent World Models. CoRR abs/2406.10667 (2024) - [i7]Yuxiang Chai, Siyuan Huang, Yazhe Niu, Han Xiao, Liang Liu, Dingyu Zhang, Peng Gao, Shuai Ren, Hongsheng Li:
AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents. CoRR abs/2407.17490 (2024) - [i6]Xueyan Li, Xinyan Chen, Yazhe Niu, Shuai Hu, Yu Liu:
PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. CoRR abs/2408.03337 (2024) - 2023
- [c5]Chuming Li, Jie Liu
, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. AAAI 2023: 8536-8544 - [c4]Chuming Li, Ruonan Jia
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. ECAI 2023: 1381-1388 - [c3]Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu:
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. ICLR 2023 - [c2]Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu:
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. NeurIPS 2023 - [i5]Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. CoRR abs/2307.12933 (2023) - [i4]Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu:
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. CoRR abs/2310.08348 (2023) - [i3]Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. CoRR abs/2312.07685 (2023) - 2022
- [i2]Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency. CoRR abs/2211.16068 (2022)
2010 – 2019
- 2019
- [c1]Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 2019: 3565-3574 - [i1]Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR abs/1911.01249 (2019)
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