Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Zhao Liu; Mingfei Sun 001; Bei Shi; Peilin Zhao; Hao Wu; Hongsheng Yu; Shaojie Yang; Xipeng Wu; Qingwei Guo; Qiaobo Chen; Yinyuting Yin; et al. (AAAI, 2020)

Towards Playing Full MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Guibin Chen; Wen Zhang; Sheng Chen; Bo Yuan 008; Bo Liu; Jia Chen; Zhao Liu; Fuhao Qiu; Hongsheng Yu; Yinyuting Yin; Bei Shi; et al. (NeurIPS, 2020)

Learning Diverse Policies in MOBA Games via Macro-Goals. - Yiming Gao 007; Bei Shi; Xueying Du; Liang Wang 015; Guangwei Chen; Zhenjie Lian; Fuhao Qiu; Guoan Han; Weixuan Wang; Deheng Ye; Qiang Fu 016; Wei Yang 032; et al. (NeurIPS, 2021)

GUX-Analyzer: A Deep Multi-modal Analyzer Via Motivational Flow For Game User Experience. - Zhitao Liu; Ning Xie 003; Guobiao Yang; Jiale Dou; Lanxiao Huang; Guang Yang; Lin Yuan (CoRR, 2021)

MCS: An In-battle Commentary System for MOBA Games. - Xiaofeng Qi; Chao Li; Zhongping Liang; Jigang Liu; Cheng Zhang; Yuanxin Wei; Lin Yuan; Guang Yang; Lanxiao Huang; Min Li (COLING, 2022)

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. - Tyler Cody; Abdul Rahman; Christopher Redino; Lanxiao Huang; Ryan Clark; Akshay Kakkar; Deepak Kushwaha; Paul Park; Peter A. Beling; Edward Bowen (DSC, 2022)

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. - Lanxiao Huang; Tyler Cody; Christopher Redino; Abdul Rahman; Akshay Kakkar; Deepak Kushwaha; Cheng Wang 040; Ryan Clark; Daniel Radke; Peter A. Beling; Edward Bowen (ICMLA, 2022)

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. - Hua Wei 001; Jingxiao Chen; Xiyang Ji; Hongyang Qin; Minwen Deng; Siqin Li; Liang Wang 015; Weinan Zhang 001; Yong Yu 001; Liu Lin; Lanxiao Huang; Deheng Ye; et al. (NeurIPS, 2022)

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Deheng Ye; Guibin Chen; Peilin Zhao; Fuhao Qiu; Bo Yuan 008; Wen Zhang; Sheng Chen; Mingfei Sun 001; Xiaoqian Li; Siqin Li; Jing Liang; Zhenjie Lian; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Zhenjie Lian; Weixuan Wang; Siqin Li; Xianliang Wang; Xianhan Zeng; Rundong Wang; Jiawei Wang; Qiang Fu 016; Wei Yang 032; et al. (ICLR, 2023)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. - Cheng Wang 040; Christopher Redino; Ryan Clark; Abdul Rahman; Sal Aguiñaga; Sathvik Murli; Dhruv Nandakumar; Roland Rao; Lanxiao Huang; Daniel Radke; Edward Bowen (CSR, 2024)

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Dehua Zheng; Zhenjie Lian; Weixuan Wang; Wenjin Yang; Siqin Li; Xianliang Wang; Wenhui Chen; Jing Dai; Qiang Fu 016; et al. (ICLR, 2024)

Discovering Command and Control Channels Using Reinforcement Learning. - Cheng Wang 040; Akshay Kakkar; Christopher Redino; Abdul Rahman; Ajinsyam S; Ryan Clark; Daniel Radke; Tyler Cody; Lanxiao Huang; Edward Bowen (CoRR, 2024)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning. - Lin Liu 016; Jian Zhao 018; Cheng Hu; Zhengtao Cao; Youpeng Zhao; Zhenbin Ye; Meng Meng; Wenjun Wang; Zhaofeng He; Houqiang Li; Xia Lin; Lanxiao Huang (CoRR, 2024)

SimsChat: A Customisable Persona-Driven Role-Playing Agent. - Bohao Yang; Dong Liu 026; Chen Tang; Chenghao Xiao; Kun Zhao 007; Chao Li; Lin Yuan; Guang Yang; Lanxiao Huang; Chenghua Lin (CoRR, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Junfeng Yang; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (CoRR, 2024)

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement. - Junjie Lin; Jian Zhao 018; Lin Liu 016; Yue Deng; Youpeng Zhao; Lanxiao Huang; Xia Lin; Wengang Zhou 001; Houqiang Li (CoRR, 2024)