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Haobo Fu
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2020 – today
- 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) - [c24]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 - [c23]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 - [c22]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR 2024 - [c21]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c20]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 - [i11]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) - [i10]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) - [i9]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) - [i8]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) - 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
Policy Space Diversity for Non-Transitive Games. CoRR abs/2306.16884 (2023) - [i5]Ren-Jian Wang
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
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19(5): 731-745 (2015) - 2014
- [c5]Yi-Nan Guo
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
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
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2010
- [c1]Haobo Fu, Yi Mei
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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last updated on 2024-11-07 20:29 CET by the dblp team
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