Yongle Luo

17 papers A* 1C 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
F.A.C.U.L.: Language-Based Interaction with AI Companions in Gaming.
AAAI
Wenya Wei, Sipeng Yang, Qixian Zhou, Ruochen Liu, Xuelei Zhang, Yifu Yuan, Yan Jiang, Yongle Luo, Hailong Wang, Tianzhou Wang, Peipei Jin, Wangtong Liu, Zhou Zhao, Xiaogang Jin, Elvis S. Liu
2025 J jnl
An Error-Tolerant Design of Joint Planner for a Table Tennis Robot Using Variable-Sigmoid-Based Motion Template.
IEEE Trans. Syst. Man Cybern. Syst.
Yuxin Wang, Zhiyong Sun, Chengeng Qu, Yongle Luo, Haibo Zhang, Kun Dong, Yu Liu, Qiang Zhang, Bin Cai, Erkang Cheng, Jie Ren, Bo Song
2025 J jnl
F.A.C.U.L.: Language-Based Interaction with AI Companions in Gaming.
CoRR
Wenya Wei, Sipeng Yang, Qixian Zhou, Ruochen Liu, Xuelei Zhang, Yifu Yuan, Yan Jiang, Yongle Luo, Hailong Wang, Tianzhou Wang, Peipei Jin, Wangtong Liu, Zhou Zhao, Xiaogang Jin, Elvis S. Liu
2025 C conf
Game-Oriented ASR Error Correction via RAG-Enhanced LLM.
CoG
Yan Jiang, Yongle Luo, Qinxian Zhou, Elvis S. Liu
2025 J jnl
Game-Oriented ASR Error Correction via RAG-Enhanced LLM.
CoRR
Yan Jiang, Yongle Luo, Qixian Zhou, Elvis S. Liu
2024 J jnl
A Novel Trajectory-Based Ball Spin Estimation Method for Table Tennis Robot.
IEEE Trans. Ind. Electron.
Yuxin Wang, Zhiyong Sun, Yongle Luo, Haibo Zhang, Wen Zhang, Kun Dong, Qiyu He, Qiang Zhang, Erkang Cheng, Bo Song
2024 — conf
Constraint-aware Online Joint-Space Motion Planning for Robotic Table Tennis.
RobCE
Yu Liu, Yuxin Wang, Yongle Luo, Yu Sun, Kun Dong, Zhiyong Sun, Bo Song
2024 J jnl
Dyna-style Model-based reinforcement learning with Model-Free Policy Optimization.
Knowl. Based Syst.
Kun Dong, Yongle Luo, Yuxin Wang, Yu Liu, Chengeng Qu, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song
2024 J jnl
Reinforcement Learning with Decoupled State Representation for Robot Manipulations.
Neural Process. Lett.
Kun Dong, Yu Zeng, Kun Wang, Yongle Luo, Yuxin Wang, Erkang Cheng, Zhiyong Sun, Qiang Zhang, Bo Song
2023 — conf
D2SR: Transferring Dense Reward Function to Sparse by Network Resetting.
RCAR
Yongle Luo, Yuxin Wang, Kun Dong, Yu Liu, Zhiyong Sun, Qiang Zhang, Bo Song
2023 — conf
Reinforcement Learning with Goal Relabeling and Dynamic Model for Robotic Tasks.
RCAR
Kun Dong, Yongle Luo, Yuxin Wang, Shan Fang, Yu Liu, Erkang Cheng, Zhiyong Sun, Qiang Zhang, Bo Song
2023 J jnl
Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards.
Neurocomputing
Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song
2023 — conf
SIRL: Self-Imitation Reinforcement Learning for Single-step Hitting Tasks.
ICARM
Yongle Luo, Yuxin Wang, Kun Dong, Yu Liu, Zhiyong Sun, Qiang Zhang, Bo Song
2022 — conf
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty.
AIM
Kun Dong, Yongle Luo, Erkang Cheng, Zhiyong Sun, Lili Zhao, Qiang Zhang, Chao Zhou, Bo Song
2022 J jnl
Relay Hindsight Experience Replay: Continual Reinforcement Learning for Robot Manipulation Tasks with Sparse Rewards.
CoRR
Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song
2021 J jnl
Calibration-Free Monocular Vision-Based Robot Manipulations With Occlusion Awareness.
IEEE Access
Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Erkang Cheng, Honglin Kan, Chao Zhou, Bo Song
2020 J jnl
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty.
CoRR
Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song