Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. - Haobo Fu; Yi Mei 001; Ke Tang 001; Yanbo Zhu (IEEE Congress on Evolutionary Computation, 2010)

Characterizing environmental changes in Robust Optimization Over Time. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2012)

Finding Robust Solutions to Dynamic Optimization Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (EvoApplications, 2013)

What are dynamic optimization problems? - Haobo Fu; Peter R. Lewis 001; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Find robust solutions over time by two-layer multi-objective optimization method. - Yi-Nan Guo 001; Meirong Chen; Haobo Fu; Yun Liu (IEEE Congress on Evolutionary Computation, 2014)

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2015)

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. - Jiechao Xiong; Qing Wang; Zhuoran Yang; Peng Sun 011; Lei Han 001; Yang Zheng; Haobo Fu; Tong Zhang 001; Ji Liu 001; Han Liu 001 (CoRR, 2018)

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. - Yunsheng Zhang; Dong Yan; Bei Shi; Haobo Fu; Qiang Fu 016; Hang Su 006; Jun Zhu 001; Ning Chen 002 (IJCAI, 2021)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Enmin Zhao; Hang Xu 006; Meng Zhang; Haobo Fu; Bo An 001; Junliang Xing (CoRR, 2021)

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. - Hang Xu 006; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing (AAAI, 2022)

Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. - Jinqiu Li; Shuang Wu; Haobo Fu; Qiang Fu 016; Enmin Zhao; Junliang Xing (CoG, 2022)

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. - Haobo Fu; Weiming Liu 004; Shuang Wu; Yijia Wang; Tao Yang; Kai Li 022; Junliang Xing; Bin Li 025; Bo Ma; Qiang Fu 016; Wei Yang 032 (ICLR, 2022)

Greedy when Sure and Conservative when Uncertain about the Opponents. - Haobo Fu; Ye Tian; Hongxiang Yu; Weiming Liu 004; Shuang Wu; Jiechao Xiong; Ying Wen 001; Kai Li 022; Junliang Xing; Qiang Fu 016; Wei Yang 032 (ICML, 2022)

Sequential Cooperative Multi-Agent Reinforcement Learning. - Yifan Zang 001; Jinmin He; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing (AAMAS, 2023)

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. - Yuxing Wang; Shuang Wu; Tiantian Zhang 002; Yongzhe Chang; Haobo Fu; Qiang Fu 016; Xueqian Wang 001 (CoRL, 2023)

Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. - Yuxing Wang; Shuang Wu; Haobo Fu; Qiang Fu 016; Tiantian Zhang 002; Yongzhe Chang; Xueqian Wang 001 (ICLR, 2023)

Quality-Similar Diversity via Population Based Reinforcement Learning. - Shuang Wu; Jian Yao 008; Haobo Fu; Ye Tian; Chao Qian 001; Yaodong Yang 001; Qiang Fu 016; Wei Yang 032 (ICLR, 2023)

Opponent-Limited Online Search for Imperfect Information Games. - Weiming Liu 004; Haobo Fu; Qiang Fu 016; Wei Yang 032 (ICML, 2023)

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. - Ren-Jian Wang; Ke Xue 001; Haopu Shang; Chao Qian 001; Haobo Fu; Qiang Fu 016 (IJCAI, 2023)

A Robust and Opponent-Aware League Training Method for StarCraft II. - Ruozi Huang; Xipeng Wu; Hongsheng Yu; Zhong Fan; Haobo Fu; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Policy Space Diversity for Non-Transitive Games. - Jian Yao 008; Weiming Liu 004; Haobo Fu; Yaodong Yang 001; Stephen McAleer; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. - Yifan Zang 001; Jinmin He; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2023)

Maximum Entropy Heterogeneous-Agent Mirror Learning. - Jiarong Liu; Yifan Zhong; Siyi Hu; Haobo Fu; Qiang Fu 016; Xiaojun Chang; Yaodong Yang 001 (CoRR, 2023)

Diversity from Human Feedback. - Ren-Jian Wang; Ke Xue 001; Yutong Wang; Peng Yang 008; Haobo Fu; Qiang Fu 016; Chao Qian 001 (CoRR, 2023)

Pointer Networks Trained Better via Evolutionary Algorithms. - Muyao Zhong; Shengcai Liu; Bingdong Li; Haobo Fu; Ke Tang 001; Peng Yang 008 (CoRR, 2023)

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2023)

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2024)

Towards Offline Opponent Modeling with In-context Learning. - Yuheng Jing; Kai Li 022; Bingyun Liu; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Maximum Entropy Heterogeneous-Agent Reinforcement Learning. - Jiarong Liu; Yifan Zhong; Siyi Hu; Haobo Fu; Qiang Fu 016; Xiaojun Chang; Yaodong Yang 001 (ICLR, 2024)

Dynamic Discounted Counterfactual Regret Minimization. - Hang Xu 006; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. - Hang Xu 006; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (IJCAI, 2024)

Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

Opponent Modeling with In-context Search. - Yuheng Jing; Bingyun Liu; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. - Kai Li 022; Hang Xu 006; Haobo Fu; Qiang Fu 016; Junliang Xing (Artif. Intell., 2024)

Enhance Reasoning for Large Language Models in the Game Werewolf. - Shuang Wu; Liwen Zhu 005; Tao Yang; Shiwei Xu; Qiang Fu 016; Yang Wei; Haobo Fu (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 016; Wei Yang 032 (CoRR, 2024)

Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. - Chen Qiu; Haobo Fu; Kai Li; Weixin Huang; Jiajia Zhang; Xuan Wang (CoRR, 2024)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (CoRR, 2024)

Optimizing Latent Goal by Learning from Trajectory Preference. - Guangyu Zhao; Kewei Lian; Haowei Lin; Haobo Fu; Qiang Fu 016; Shaofei Cai; Zihao Wang; Yitao Liang (CoRR, 2024)

An Open-Ended Learning Framework for Opponent Modeling. - Yuheng Jing; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2025)

Online-to-Offline RL for Agent Alignment. - Xu Liu; Haobo Fu; Stefano V. Albrecht; Qiang Fu; Shuai Li (ICLR, 2025)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (ICLR, 2025)

Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games. - Chen Qiu; Haobo Fu; Kai Li; Jiajia Zhang; Xuan Wang (UAI, 2025)

Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. - Canzhe Zhao; Shuze Chen; Weiming Liu 004; Haobo Fu; Qiang Fu 016; Shuai Li 010 (UAI, 2025)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2025)

TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II. - Weiyu Ma; Jiwen Jiang; Haobo Fu; Haifeng Zhang (CoRR, 2025)