Hongming Zhang

20 papers A* 5A 1B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning. CoRR Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong
2025	J	`jnl`	Latent Landmark Graph for Efficient Exploration-exploitation Balance in Hierarchical Reinforcement Learning. Int. J. Autom. Comput. Qingyang Zhang, Hongming Zhang, Dengpeng Xing, Bo Xu
2025	—	`conf`	Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall. EMNLP (Findings) Sijia Cui, Aiyao He, Shuai Xu, Hongming Zhang, Yanna Wang, Qingyang Zhang, Yajing Wang, Bo Xu
2025	J	`jnl`	Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall. CoRR Sijia Cui, Aiyao He, Shuai Xu, Hongming Zhang, Yanna Wang, Qingyang Zhang, Yajing Wang, Bo Xu
2025	A	`conf`	β-DQN: Improving Deep Q-Learning By Evolving the Behavior. AAMAS Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller
2025	J	`jnl`	β-DQN: Improving Deep Q-Learning By Evolving the Behavior. CoRR Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller
2024	J	`jnl`	A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning. Trans. Mach. Learn. Res. Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller
2024	J	`jnl`	Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han
2024	A*	`conf`	Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration. NeurIPS Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller
2024	A*	`conf`	Monte Carlo Tree Search in the Presence of Transition Uncertainty. AAAI Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2023	J	`jnl`	Monte Carlo Tree Search in the Presence of Transition Uncertainty. CoRR Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2023	A*	`conf`	PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. AAAI Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu
2023	A*	`conf`	Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay. ICLR Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller
2022	J	`jnl`	Build generally reusable agent-environment interaction models. CoRR Jun Jin, Hongming Zhang, Jun Luo
2021	J	`jnl`	A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning. CoRR Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller
2021	A*	`conf`	Efficient Reinforcement Learning Development with RLzoo. ACM Multimedia Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong
2020	J	`jnl`	RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. CoRR Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong
2019	J	`jnl`	Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning. CoRR Jiancheng Long, Hongming Zhang, Tianyang Yu, Bo Xu
2019	B	`conf`	RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space. IJCNN Hongming Zhang, Fangjuan Cheng, Bo Xu, Feng Chen, Jiachen Liu, Wei Wu
2018	J	`jnl`	A Logarithmic Barrier Method For Proximal Policy Optimization. CoRR Cheng Zeng, Hongming Zhang