Hongming Zhang

According to our database, Hongming Zhang authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning.

Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong

CoRR, March, 2026

2025

Latent Landmark Graph for Efficient Exploration-exploitation Balance in Hierarchical Reinforcement Learning.

Qingyang Zhang, Hongming Zhang, Dengpeng Xing, Bo Xu

Int. J. Autom. Comput., 2025

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization.

Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, Bo Xu, Lei Han, Ying Wen, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

β-DQN: Improving Deep Q-Learning By Evolving the Behavior.

Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller

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

Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall.

Sijia Cui, Aiyao He, Shuai Xu, Hongming Zhang, Yanna Wang, Qingyang Zhang, Yajing Wang, Bo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning.

Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller

Trans. Mach. Learn. Res., 2024

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation.

Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han

CoRR, 2024

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration.

Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Monte Carlo Tree Search in the Presence of Transition Uncertainty.

Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay.

Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction.

Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Build generally reusable agent-environment interaction models.

Jun Jin, Hongming Zhang, Jun Luo

CoRR, 2022

2021

A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning.

Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller

CoRR, 2021

Efficient Reinforcement Learning Development with RLzoo.

Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library.

Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong

CoRR, 2020

2019

Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning.

Jiancheng Long, Hongming Zhang, Tianyang Yu, Bo Xu

CoRR, 2019

RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space.

Hongming Zhang, Fangjuan Cheng, Bo Xu, Feng Chen, Jiachen Liu, Wei Wu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Logarithmic Barrier Method For Proximal Policy Optimization.

Cheng Zeng, Hongming Zhang

CoRR, 2018