Haobo Fu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Imperfect Information

Maximum Entropy

Top Venues

IEEE Congress on Evolutionary Computation

Publications

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 (2024)
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR (2024)
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)
Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Dynamic Discounted Counterfactual Regret Minimization. ICLR (2024)
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)
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 (2024)
Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR (2024)
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)
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)
Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Chao Qian, Ke Tang, Peng Yang
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR (2023)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. NeurIPS (2023)
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)
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)
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)
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
Diversity from Human Feedback. CoRR (2023)
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 (2023)
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)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. CoRR (2023)
Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang
Opponent-Limited Online Search for Imperfect Information Games. ICML (2023)
Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR (2023)
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)
Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI (2022)
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)
Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing
Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. CoG (2022)
Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing
L2E: Learning to Exploit Your Opponent. CoRR (2021)
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)
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 (2018)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19 (5) (2015)
Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation (2014)
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)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications (2013)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation (2012)
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)