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Hongming Zhang 0003
Person information
- affiliation: Chinese Academy of Sciences, Center for Research on Intelligent System and Engineering, Beijing, China
Other persons with the same name
- Hongming Zhang — disambiguation page
- Hongming Zhang 0001
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Hongming Zhang 0002
— Northwest A&F University, Yangling, China
- Hongming Zhang 0004
— King Mongkut's University of Technology Thonburi, Bangkok, Thailand
- Hongming Zhang 0005
— Guangxi University, College of Computer, Electronics and Information, Guangxi, China
- Hongming Zhang 0006
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Hongming Zhang 0007
— Central South University, Changsha, China
- Hongming Zhang 0008
— Hangzhou Dianzi University, Hangzhou, China
- Hongming Zhang 0009
— Tencent AI Lab, Seattle, WA, USA (and 1 more)
- Hongming Zhang 0010
— Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2025
- [i8]Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller:
β-DQN: Improving Deep Q-Learning By Evolving the Behavior. CoRR abs/2501.00913 (2025) - 2024
- [c6]Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller:
Monte Carlo Tree Search in the Presence of Transition Uncertainty. AAAI 2024: 20151-20158 - [c5]Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller:
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration. NeurIPS 2024 - [i7]Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han:
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR abs/2405.18688 (2024) - 2023
- [c4]Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu:
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. AAAI 2023: 6728-6736 - [c3]Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller:
Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay. ICLR 2023 - [i6]Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller:
Monte Carlo Tree Search in the Presence of Transition Uncertainty. CoRR abs/2312.11348 (2023) - 2022
- [i5]Jun Jin, Hongming Zhang, Jun Luo:
Build generally reusable agent-environment interaction models. CoRR abs/2211.08234 (2022) - 2021
- [c2]Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong:
Efficient Reinforcement Learning Development with RLzoo. ACM Multimedia 2021: 3759-3762 - [i4]Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller:
A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning. CoRR abs/2109.09889 (2021) - 2020
- [i3]Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang
, Luo Mai, Hao Dong:
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. CoRR abs/2009.08644 (2020)
2010 – 2019
- 2019
- [c1]Hongming Zhang
, Fangjuan Cheng, Bo Xu, Feng Chen, Jiachen Liu, Wei Wu:
RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space. IJCNN 2019: 1-8 - [i2]Jiancheng Long, Hongming Zhang
, Tianyang Yu, Bo Xu:
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning. CoRR abs/1908.06758 (2019) - 2018
- [i1]Cheng Zeng, Hongming Zhang
:
A Logarithmic Barrier Method For Proximal Policy Optimization. CoRR abs/1812.06502 (2018)
Coauthor Index
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last updated on 2025-02-20 20:41 CET by the dblp team
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