Search Results for author: Zhenbin Ye

Found 2 papers, 2 papers with code

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

1 code implementation • NeurIPS 2023 • Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji

The advancement of Offline Reinforcement Learning (RL) and Offline Multi-Agent Reinforcement Learning (MARL) critically depends on the availability of high-quality, pre-collected offline datasets that represent real-world complexities and practical applications.

Multi-agent Reinforcement Learning Multi-Task Learning +3

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Code

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning

1 code implementation • 6 Jun 2024 • Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang

To address these issues, we introduce the first publicly available map editor for the popular mobile game Honor of Kings and design a lightweight environment, Mini Honor of Kings (Mini HoK), for researchers to conduct experiments.

Multi-agent Reinforcement Learning

Paper
Code

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