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2020 – today
- 2026
[j4]Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian:
Diversity from human feedback. Frontiers Comput. Sci. 20(2): 2002320 (2026)- 2025
- [j3]Ke Xue
, Yutong Wang, Cong Guan, Lei Yuan, Haobo Fu, Qiang Fu, Chao Qian, Yang Yu:
Heterogeneous Multiagent Zero-Shot Coordination by Coevolution. IEEE Trans. Evol. Comput. 29(5): 2229-2243 (2025) - [c34]Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
An Open-Ended Learning Framework for Opponent Modeling. AAAI 2025: 23222-23230 - [c33]Xu Liu, Haobo Fu, Stefano V. Albrecht, Qiang Fu, Shuai Li:
Online-to-Offline RL for Agent Alignment. ICLR 2025 - [c32]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:
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. ICLR 2025 - [c31]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. ICML 2025 - [c30]Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement. ICML 2025 - [c29]Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang:
MCU: An Evaluation Framework for Open-Ended Game Agents. ICML 2025 - [c28]Chen Qiu, Haobo Fu, Kai Li, Jiajia Zhang, Xuan Wang:
Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. UAI 2025: 3492-3506 - [c27]Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li:
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. UAI 2025: 5058-5083 - [i18]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance. CoRR abs/2507.06615 (2025) - [i17]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. CoRR abs/2507.06628 (2025) - [i16]Weiyu Ma, Jiwen Jiang, Haobo Fu, Haifeng Zhang:
TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II. CoRR abs/2507.15618 (2025) - [i15]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Deep (Predictive) Discounted Counterfactual Regret Minimization. CoRR abs/2511.08174 (2025) - [i14]Boyuan Chen, Sitong Fang, Jiaming Ji, Yanxu Zhu, Pengcheng Wen, Jinzhou Wu, Yingshui Tan, Boren Zheng, Mengying Yuan, Wenqi Chen, Donghai Hong, Alex Qiu, Xin Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Borong Zhang, Tianzhuo Yang, Saad Siddiqui, Isabella Duan, Yawen Duan, Brian Tse, Jen-Tse Huang, Kun Wang, Baihui Zheng, Jiaheng Liu, Jian Yang, Yiming Li, Wenting Chen, Dongrui Liu, Lukas Vierling, Zhiheng Xi, Haobo Fu, Wenxuan Wang, Jitao Sang, Zhengyan Shi, Chi-Min Chan, Eugenie Shi, Simin Li, Juncheng Li, Jian Yang, Wei Ji, Dong Li, Jinglin Yang, Jun Song, Yinpeng Dong, Jie Fu, Bo Zheng, Min Yang, Yike Guo, Philip Torr, Robert Trager, Yi Zeng, Zhongyuan Wang, Yaodong Yang, Tiejun Huang, Ya-Qin Zhang, Hongjiang Zhang, Andrew Yao:
AI Deception: Risks, Dynamics, and Controls. CoRR abs/2511.22619 (2025) - 2024
- [j2]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) - [c26]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 - [c25]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 - [c24]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR 2024 - [c23]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c22]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 - [c21]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. NeurIPS 2024 - [c20]Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Opponent Modeling with In-context Search. NeurIPS 2024 - [i13]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) - [i12]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) - [i11]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) - [i10]Chen Qiu, Haobo Fu, Kai Li, Weixin Huang, Jiajia Zhang, Xuan Wang:
Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. CoRR abs/2408.02283 (2024) - [i9]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) - [i8]Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang:
Optimizing Latent Goal by Learning from Trajectory Preference. CoRR abs/2412.02125 (2024) - 2023
- [c19]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 485-493 - [c18]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 - [c17]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 - [c16]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 - [c15]Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang:
Opponent-Limited Online Search for Imperfect Information Games. ICML 2023: 21567-21585 - [c14]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 - [c13]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 - [c12]Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang:
Policy Space Diversity for Non-Transitive Games. NeurIPS 2023 - [c11]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 - [i7]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) - [i6]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) - [i5]Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian:
Diversity from Human Feedback. CoRR abs/2310.06648 (2023) - [i4]Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang:
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR abs/2312.01150 (2023) - [i3]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
- [c10]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI 2022: 5244-5251 - [c9]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 - [c8]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 - [c7]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 - 2021
- [c6]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 - [i2]Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. CoRR abs/2102.09381 (2021)
2010 – 2019
- 2018
- [i1]Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu:
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR abs/1810.06394 (2018) - 2015
- [j1]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19(5): 731-745 (2015) - 2014
- [c5]Yi-Nan Guo, Meirong Chen, Haobo Fu, Yun Liu:
Find robust solutions over time by two-layer multi-objective optimization method. IEEE Congress on Evolutionary Computation 2014: 1528-1535 - [c4]Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao:
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation 2014: 1550-1557 - 2013
- [c3]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications 2013: 616-625 - 2012
- [c2]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2010
- [c1]Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu:
Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2010: 1-8
Coauthor Index
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