Qiang Fu - RankMe

87 papers A* 36A 2C 1Misc 1Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Deep (Predictive) Discounted Counterfactual Regret Minimization. AAAI Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2026	J	`jnl`	Diversity from human feedback. Frontiers Comput. Sci. Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2025	A*	`conf`	An Open-Ended Learning Framework for Opponent Modeling. AAAI Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Deep (Predictive) Discounted Counterfactual Regret Minimization. CoRR Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A*	`conf`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. ICLR 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, Yang Wei, Haobo Fu
2025	J	`jnl`	Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A*	`conf`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. ICML Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Heterogeneous Multiagent Zero-Shot Coordination by Coevolution. IEEE Trans. Evol. Comput. Ke Xue, Yutong Wang, Cong Guan, Lei Yuan, Haobo Fu, Qiang Fu, Chao Qian, Yang Yu
2025	A*	`conf`	MCU: An Evaluation Framework for Open-Ended Game Agents. ICML Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang
2025	A*	`conf`	Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement. ICML Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A	`conf`	Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. UAI Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li
2025	J	`jnl`	Yan: Foundational Interactive Video Generation. CoRR Deheng Ye, Fangyun Zhou, Jiacheng Lv, Jianqi Ma, Jun Zhang, Junyan Lv, Junyou Li, Minwen Deng, Mingyu Yang, Qiang Fu, Wei Yang, Wenkai Lv, Yangbin Yu, Yewen Wang, Yonghang Guan, Zhihao Hu, Zhongbin Fang, Zhongqian Sun
2024	J	`jnl`	Affordable Generative Agents. CoRR Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye
2024	J	`jnl`	Affordable Generative Agents. Trans. Mach. Learn. Res. Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye
2024	J	`jnl`	Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. Artif. Intell. Kai Li, Hang Xu, Haobo Fu, Qiang Fu, Junliang Xing
2024	J	`jnl`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR 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
2024	A*	`conf`	Dynamic Discounted Counterfactual Regret Minimization. ICLR Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Trans. Neural Networks Learn. Syst. Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2024	A*	`conf`	Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. NeurIPS Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Enhance Reasoning for Large Language Models in the Game Werewolf. CoRR Shuang Wu, Liwen Zhu, Tao Yang, Shiwei Xu, Qiang Fu, Yang Wei, Haobo Fu
2024	A*	`conf`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. ICLR Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2024	J	`jnl`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. CoRR 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
2024	J	`jnl`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR 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
2024	A*	`conf`	Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
2024	A*	`conf`	Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	More Agents Is All You Need. CoRR Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye
2024	J	`jnl`	More Agents Is All You Need. Trans. Mach. Learn. Res. Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye
2024	A*	`conf`	Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	A*	`conf`	Opponent Modeling with In-context Search. NeurIPS Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Optimizing Latent Goal by Learning from Trajectory Preference. CoRR Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang
2024	J	`jnl`	Playable Game Generation. CoRR Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye
2024	J	`jnl`	Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination. CoRR Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang
2024	A*	`conf`	Towards Offline Opponent Modeling with In-context Learning. ICLR Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	A*	`conf`	A Robust and Opponent-Aware League Training Method for StarCraft II. NeurIPS Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang
2023	A*	`conf`	Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	A*	`conf`	Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. ICLR Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
2023	J	`jnl`	Diversity from Human Feedback. CoRR Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2023	A*	`conf`	Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
2023	J	`jnl`	Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
2023	A*	`conf`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS 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
2023	J	`jnl`	Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
2023	A*	`conf`	Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. IJCAI Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
2023	J	`jnl`	Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	A*	`conf`	Opponent-Limited Online Search for Imperfect Information Games. ICML Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang
2023	A*	`conf`	Policy Space Diversity for Non-Transitive Games. NeurIPS Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	Policy Space Diversity for Non-Transitive Games. CoRR Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	Misc	`conf`	PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. CoRL Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang
2023	A*	`conf`	Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
2023	J	`jnl`	RLTF: Reinforcement Learning from Unit Test Feedback. CoRR Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
2023	J	`jnl`	RLTF: Reinforcement Learning from Unit Test Feedback. Trans. Mach. Learn. Res. Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
2023	A*	`conf`	RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2023	J	`jnl`	Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun
2023	J	`jnl`	Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
2023	A	`conf`	Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
2023	A*	`conf`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. ICLR 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
2023	J	`jnl`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. CoRR 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
2022	A*	`conf`	Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang
2022	A*	`conf`	AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
2022	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2022	A*	`conf`	Greedy when Sure and Conservative when Uncertain about the Opponents. ICML Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
2022	A*	`conf`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS 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
2022	J	`jnl`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR 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
2022	A*	`conf`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR 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
2022	J	`jnl`	RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2022	J	`jnl`	Revisiting Discrete Soft Actor-Critic. CoRR Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang
2022	C	`conf`	Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. CoG Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 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
2021	A*	`conf`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	J	`jnl`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	A*	`conf`	Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. IJCAI Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
2021	J	`jnl`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2021	A*	`conf`	Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS 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
2021	J	`jnl`	Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR 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
2021	A*	`conf`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	J	`jnl`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 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
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR 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
2020	A*	`conf`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS 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
2020	J	`jnl`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR 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
2020	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR 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
2018	J	`jnl`	Hierarchical Macro Strategy Model for MOBA Game AI. CoRR Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu