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Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain


Nov 06, 2022
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter Beling, Edward Bowen

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Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning


Oct 09, 2022
Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang

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* Accepted by NeurIPS 2022 

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Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs


Jan 28, 2022
Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter Beling, Edward Bowen

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Learning Diverse Policies in MOBA Games via Macro-Goals


Oct 27, 2021
Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang

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* Accepted at NeurIPS 2021 

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Towards Playing Full MOBA Games with Deep Reinforcement Learning


Dec 31, 2020
Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

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* NeurIPS 2020 

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Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings


Nov 25, 2020
Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang

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* IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 

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Mastering Complex Control in MOBA Games with Deep Reinforcement Learning


Jan 03, 2020
Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

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* accepted as a conference paper by AAAI-2020 

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