追求实用价值

追求实用价值，努力做有意义的科研，成果仅是副产物，错误难免，欢迎批评指正。

获奖

[1] 《农业物流机器人结构设计优化与路径规划算法研究》中国物流与采购联合会 2024年科学技术二等奖小组成员杨明参与

自制课程

[1] 2023年版《强化学习 mini-course》

软著 + 专利

[1] 《超智行业数据库与数据分析软件》著作权：小组成员杨明

[2] 《超智教育培训信息系统》著作权：小组成员杨明

论文

2025

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Yan Li, Leong Hou U
34th International Joint Conference on Artificial Intelligence (IJCAI)2025 (CCF A)

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

Kaiyan Zhao', Yiming Wang', Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu
34th International Joint Conference on Artificial Intelligence (IJCAI)2025 (CCF A)

HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration

Shaocheng Yan, Yiming Wang, Kaiyan Zhao, Pengcheng S, Zhenjun Z, Yongjun Z, Jiayuan L
Conference on Computer Vision and Pattern Recognition(CVPR) 2025 (CCF A)

2024

Team-wise effective communication in multi-agent reinforcement learning

M Yang, K Zhao, Y Wang, R Dong, Y Du, F Liu, M Zhou, LH U

Autonomous Agents and Multi-Agent Systems 38 (2), 36 (CCF B Multi-agent Top)

Rethinking Exploration in Reinforcement Learning with Effective Metric-based Exploration Bonus

Y Wang, K Zhao, F Liu, LH U

Advances in Neural Information Processing Systems 37 (CCF A Spotlight top 2.4%)

2023

Mixlight: Mixed-agent cooperative reinforcement learning for traffic light control

M Yang, Y Wang, Y Yu, M Zhou

IEEE Transactions on Industrial Informatics (SCI Q1 top)

TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory

M Yang, R Dong, Y Wang, F Liu, Y Du, M Zhou, L Hou U

International Conference on Database Systems for Advanced Applications, 604-613 (CCF B)

Efficient potential-based exploration in reinforcement learning using inverse dynamic bisimulation metric

Y Wang, M Yang, R Dong, B Sun, F Liu, L Hou U

Advances in Neural Information Processing Systems 36 (CCF A)

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追求实用价值