Huiqiao Fu

15 papers A* 4A 1B 3Misc 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
Constrained Policy Optimization with Approximately Monotonically Increasing Rewards.
SMC
Yuanyang Lu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen
2025 B conf
Imitation Learning with Process Adversarial Diffusion.
SMC
Yiming Qi, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen
2025 J jnl
Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots.
CoRR
Huiqiao Fu, Haoyu Dong, Wentao Xu, Zhehao Zhou, Guizhou Deng, Kaiqiang Tang, Daoyi Dong, Chunlin Chen
2025 A* conf
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations.
ICLR
Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong
2024 B conf
Dynamic Capacitated Vehicle Routing Problem with Stochastic Requests Using Deep Reinforcement Learning.
SMC
Kaiqiang Tang, Huiqiao Fu, Jiasheng Liu, Guizhou Deng, Yuanyang Lu, Chunlin Chen
2024 A* conf
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer.
NeurIPS
Haoyu Dong, Huiqiao Fu, Wentao Xu, Zhehao Zhou, Chunlin Chen
2024 J jnl
Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst.
Kaiqiang Tang, Huiqiao Fu, Guizhou Deng, Xinpeng Wang, Chunlin Chen
2024 J jnl
Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation.
IEEE Trans. Artif. Intell.
Guizhou Deng, Huiqiao Fu, Xinpeng Wang, Canghai Liu, Kaiqiang Tang, Chunlin Chen
2024 Misc conf
Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots.
CoRL
Huiqiao Fu, Kaiqiang Tang, Peng Li, Guizhou Deng, Chunlin Chen
2023 A* conf
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations.
NeurIPS
Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen
2023 J jnl
Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics
Xinpeng Wang, Huiqiao Fu, Guizhou Deng, Canghai Liu, Kaiqiang Tang, Chunlin Chen
2021 A* conf
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots.
IJCAI
Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen
2021 A conf
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.
IROS
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang
2021 J jnl
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach.
CoRR
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang
2019 — conf
Reinforcement Learning for Robots Path Planning with Rule-based Shallow-trial.
ICNSC
Kaiqiang Tang, Huiqiao Fu, Hao Jiangt, Canghai Liu, Lan Wang