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ORCIDQiang Fu 0016
Person information
- affiliation: Tencent AI Lab, Shenzhen, China
Other persons with the same name
- Qiang Fu — disambiguation page
- Qiang Fu 0001 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Qiang Fu 0002
![[0000-0001-6395-8521]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6395-8521")
— King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (and 2 more) - Qiang Fu 0003 — Changsha University of Science and Technology, School of Energy and Power Engineering, China (and 1 more)
- Qiang Fu 0004 — Beihang University, School of Computer Science and Engineering, VR Lab, Beijing, China
- Qiang Fu 0005 — Northeastern University, MoE, Key Laboratory of Medical Image Computing, Shenyang, China
- Qiang Fu 0006 — Peking University, School of Software and Microelectronics, Beijing, China
- Qiang Fu 0007 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (and 1 more)
- Qiang Fu 0008 — Fetch Technologies, El Segundo, CA, USA (and 1 more)
- Qiang Fu 0009 — KU Leuven, Department of Microbial and Molecular Systems, Belgium
- Qiang Fu 0010 — Air Force Engineering University, School of Science, Xi'an, China (and 1 more)
- Qiang Fu 0011 — Victoria University of Wellington, School of Engineering and Computer Science, New Zealand (and 1 more)
- Qiang Fu 0012 — National University of Singapore, Department of Strategy and Policy, Singapore (and 1 more)
- Qiang Fu 0013 — Hunan University, National Engineering Laboratory for Robot Visual Perception / Control Technology College of Electrical and Information Engineering, Changsha, China
- Qiang Fu 0014 — National University of Defense Technology, College of Electronic Science, National Key Laboratory of Science and Technology on Automatic Target Recognition, Changsha, China
- Qiang Fu 0015 — Microsoft Corporation, Beijing, China
- Qiang Fu 0017 — Army Engineering University of PLA, Shijiazhuang, China (and 1 more)
- Qiang Fu 0018 — Northeast Agricultural University, College of Engineering, Harbin, China (and 1 more)
- Qiang Fu 0019 — Guangxi Normal University, School of Electronic and Information Engineering, Guangxi Key Lab of Brain-inspired Computing and Intelligent Chips, Guilin, China (and 1 more)
- Qiang Fu 0020 — Air Force Engineering University, College of Air and Missile Defense, Xi'an, China (and 1 more)
- Qiang Fu 0021 — University of Minnesota, Department of Computer Science & Engineering, Twin Cities, MN, USA
- Qiang Fu 0022 — University of British Columbia, Department of Sociology, Vancouver, Canada
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2020 – today
- 2024
[j5]Kai Li, Hang Xu, Haobo Fu, Qiang Fu, Junliang Xing:
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. Artif. Intell. 337: 104232 (2024)- [j4]Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li:
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14588-14602 (2024) - [c32]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI 2024: 12376-12384 - [c31]Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Yang Wei, Lanxiao Huang, Wei Liu:
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. ICLR 2024 - [c30]Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Towards Offline Opponent Modeling with In-context Learning. ICLR 2024 - [c29]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR 2024 - [c28]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c27]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI 2024: 5272-5280 - [i31]Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Dehua Zheng, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu:
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. CoRR abs/2401.16444 (2024) - [i30]Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye:
Affordable Generative Agents. CoRR abs/2402.02053 (2024) - [i29]Shuang Wu, Liwen Zhu, Tao Yang, Shiwei Xu, Qiang Fu, Yang Wei, Haobo Fu:
Enhance Reasoning for Large Language Models in the Game Werewolf. CoRR abs/2402.02330 (2024) - [i28]Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye:
More Agents Is All You Need. CoRR abs/2402.05120 (2024) - [i27]Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang:
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination. CoRR abs/2403.03172 (2024) - [i26]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR abs/2404.13891 (2024) - [i25]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:
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR abs/2408.10556 (2024) - [i24]Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu:
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR abs/2410.15910 (2024) - 2023
- [j3]Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye:
RLTF: Reinforcement Learning from Unit Test Feedback. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI 2023: 3570-3578 - [c25]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 485-493 - [c24]Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang:
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. CoRL 2023: 478-498 - [c23]Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu:
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. ICLR 2023 - [c22]Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang:
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. ICLR 2023 - [c21]Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang:
Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR 2023 - [c20]Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang:
Opponent-Limited Online Search for Imperfect Information Games. ICML 2023: 21567-21585 - [c19]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML 2023: 38187-38203 - [c18]Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu:
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. IJCAI 2023: 4335-4343 - [c17]Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang:
A Robust and Opponent-Aware League Training Method for StarCraft II. NeurIPS 2023 - [c16]Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji:
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS 2023 - [c15]Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang:
Policy Space Diversity for Non-Transitive Games. NeurIPS 2023 - [c14]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i23]Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun:
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR abs/2301.08442 (2023) - [i22]Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu:
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR abs/2302.02299 (2023) - [i21]Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu:
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. CoRR abs/2304.11632 (2023) - [i20]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR abs/2305.16683 (2023) - [i19]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR abs/2306.10715 (2023) - [i18]Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang:
Policy Space Diversity for Non-Transitive Games. CoRR abs/2306.16884 (2023) - [i17]Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye:
RLTF: Reinforcement Learning from Unit Test Feedback. CoRR abs/2307.04349 (2023) - [i16]Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian:
Diversity from Human Feedback. CoRR abs/2310.06648 (2023) - [i15]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR abs/2312.14472 (2023) - 2022
- [j2]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:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33(3): 908-918 (2022) - [c13]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI 2022: 5244-5251 - [c12]Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing:
Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. CoG 2022: 345-352 - [c11]Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang:
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR 2022 - [c10]Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang:
Greedy when Sure and Conservative when Uncertain about the Opponents. ICML 2022: 6829-6848 - [c9]Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI 2022: 3257-3263 - [c8]Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang:
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS 2022 - [i14]Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR abs/2202.10583 (2022) - [i13]Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li:
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR abs/2209.00347 (2022) - [i12]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:
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR abs/2209.08483 (2022) - [i11]Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang:
Revisiting Discrete Soft Actor-Critic. CoRR abs/2209.10081 (2022) - [i10]Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR abs/2212.01737 (2022) - 2021
- [j1]Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang:
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games 13(4): 410-421 (2021) - [c7]Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen:
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. IJCAI 2021: 3413-3419 - [c6]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI 2021: 3484-3491 - [c5]Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li:
Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI 2021: 3574-3580 - [c4]Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 13-28 - [c3]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:
Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS 2021: 16171-16182 - [i9]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR abs/2105.06350 (2021) - [i8]Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li:
Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR abs/2106.10411 (2021) - [i7]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:
Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR abs/2110.14221 (2021) - [i6]Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR abs/2112.04907 (2021) - 2020
- [c2]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:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [c1]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:
Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS 2020 - [i5]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:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR abs/2011.12582 (2020) - [i4]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:
Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR abs/2011.12692 (2020) - [i3]Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang:
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR abs/2012.10171 (2020)
2010 – 2019
- 2019
- [i2]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:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR abs/1912.09729 (2019) - 2018
- [i1]Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu:
Hierarchical Macro Strategy Model for MOBA Game AI. CoRR abs/1812.07887 (2018)
Coauthor Index
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