Haobo Fu

According to our database, Haobo Fu authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, Wei Yang

CoRR, 2024

Enhance Reasoning for Large Language Models in the Game Werewolf.

Shuang Wu, Liwen Zhu, Tao Yang, Shiwei Xu, Qiang Fu, Yang Wei, Haobo Fu

CoRR, 2024

Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games.

Kai Li, Hang Xu, Haobo Fu, Qiang Fu, Junliang Xing

Artif. Intell., 2024

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent.

Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dynamic Discounted Counterfactual Regret Minimization.

Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Maximum Entropy Heterogeneous-Agent Reinforcement Learning.

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Offline Opponent Modeling with In-context Learning.

Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

CoRR, 2023

Pointer Networks Trained Better via Evolutionary Algorithms.

Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang

CoRR, 2023

Diversity from Human Feedback.

Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

CoRR, 2023

Maximum Entropy Heterogeneous-Agent Mirror Learning.

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

CoRR, 2023

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Policy Space Diversity for Non-Transitive Games.

Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Robust and Opponent-Aware League Training Method for StarCraft II.

Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting.

Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Opponent-Limited Online Search for Imperfect Information Games.

Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2023

Quality-Similar Diversity via Population Based Reinforcement Learning.

Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots.

Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training.

Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang

Proceedings of the Conference on Robot Learning, 2023

Sequential Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Greedy when Sure and Conservative when Uncertain about the Opponents.

Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.

Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction.

Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms.

Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

L2E: Learning to Exploit Your Opponent.

Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing

CoRR, 2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.

Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2018

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.

Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu

CoRR, 2018

2015

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems.

Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao

IEEE Trans. Evol. Comput., 2015

2014

Find robust solutions over time by two-layer multi-objective optimization method.

Yi-Nan Guo, Meirong Chen, Haobo Fu, Yun Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

What are dynamic optimization problems?

Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Finding Robust Solutions to Dynamic Optimization Problems.

Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012

Characterizing environmental changes in Robust Optimization Over Time.

Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010

Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem.

Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu

Proceedings of the IEEE Congress on Evolutionary Computation, 2010