Qiang Fu

According to our database, Qiang Fu authored at least 51 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.

Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

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

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

CoRR, 2024

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination.

Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang

CoRR, 2024

More Agents Is All You Need.

Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye

CoRR, 2024

Enhance Reasoning for Large Language Models in the Game Werewolf.

Shuang Wu, Liwen Zhu, Tao Yang, Shiwei Xu, Qiang Fu, Yang Wei, Haobo Fu

CoRR, 2024

Affordable Generative Agents.

Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye

CoRR, 2024

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain.

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

CoRR, 2024

Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games.

Kai Li, Hang Xu, Haobo Fu, Qiang Fu, Junliang Xing

Artif. Intell., 2024

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent.

Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dynamic Discounted Counterfactual Regret Minimization.

Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Maximum Entropy Heterogeneous-Agent Reinforcement Learning.

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Offline Opponent Modeling with In-context Learning.

Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RLTF: Reinforcement Learning from Unit Test Feedback.

Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye

Trans. Mach. Learn. Res., 2023

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

CoRR, 2023

Diversity from Human Feedback.

Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

CoRR, 2023

Maximum Entropy Heterogeneous-Agent Mirror Learning.

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

CoRR, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li

CoRR, 2023

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization.

Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu

CoRR, 2023

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning.

Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun

CoRR, 2023

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Policy Space Diversity for Non-Transitive Games.

Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Robust and Opponent-Aware League Training Method for StarCraft II.

Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting.

Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

Proceedings of the International Conference on Machine Learning, 2023

Opponent-Limited Online Search for Imperfect Information Games.

Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2023

Quality-Similar Diversity via Population Based Reinforcement Learning.

Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots.

Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training.

Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang

Proceedings of the Conference on Robot Learning, 2023

Sequential Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning.

Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, 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

IEEE Trans. Neural Networks Learn. Syst., 2022

Revisiting Discrete Soft Actor-Critic.

Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang

CoRR, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.

Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Greedy when Sure and Conservative when Uncertain about the Opponents.

Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.

Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction.

Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms.

Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search.

Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang

IEEE Trans. Games, 2021

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Learning Diverse Policies in MOBA Games via Macro-Goals.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks.

Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.

Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling.

Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Hierarchical Macro Strategy Model for MOBA Game AI.

Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu

CoRR, 2018