Haobo Fu - RankMe

58 papers A* 25A 3B 5C 1Misc 1Journal 23

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	J	`jnl`	AI Deception: Risks, Dynamics, and Controls. CoRR 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
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`	Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. UAI Chen Qiu, Haobo Fu, Kai Li, Jiajia Zhang, Xuan Wang
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`	Online-to-Offline RL for Agent Alignment. ICLR Xu Liu, Haobo Fu, Stefano V. Albrecht, Qiang Fu, Shuai Li
2025	J	`jnl`	SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization. CoRR Zhengcheng Wang, Zichuan Lin, Yijun Yang, Haobo Fu, Deheng Ye
2025	J	`jnl`	TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II. CoRR Weiyu Ma, Jiwen Jiang, Haobo Fu, Haifeng Zhang
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
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	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	J	`jnl`	Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. CoRR Chen Qiu, Haobo Fu, Kai Li, Weixin Huang, Jiajia Zhang, Xuan Wang
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	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`	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	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	J	`jnl`	Pointer Networks Trained Better via Evolutionary Algorithms. CoRR Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng 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	A	`conf`	Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
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	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	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
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`	L2E: Learning to Exploit Your Opponent. CoRR Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing
2018	J	`jnl`	Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu
2015	J	`jnl`	Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2014	B	`conf`	Find robust solutions over time by two-layer multi-objective optimization method. IEEE Congress on Evolutionary Computation Yi-Nan Guo, Meirong Chen, Haobo Fu, Yun Liu
2014	B	`conf`	What are dynamic optimization problems? IEEE Congress on Evolutionary Computation Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao
2013	B	`conf`	Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2012	B	`conf`	Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2010	B	`conf`	Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu