Yunlong Liu

According to our database, Yunlong Liu authored at least 17 papers between 2010 and 2026.

Collaborative distances:

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

2026

BEV-OSP: Obstacle State Prediction in Bird's-Eye View to Enable Obstacle Avoidance and Navigation in Dynamic Environments.

Zejie Jiang, Jinyang Lai, Yunlong Liu

IEEE Robotics Autom. Lett., July, 2026

DARE to Navigate: Spatiotemporal Dynamic Augmented LiDAR Encoder for Obstacle Detection and Avoidance in Crowded Environments.

Jinyang Lai, Zejie Jiang, Yunlong Liu

IEEE Robotics Autom. Lett., February, 2026

Learning representations via dynamics-based behavioral similarity for deep reinforcement learning.

Dayang Liang, Yunlong Liu

Neural Networks, 2026

2025

Causal representation learning in offline visual reinforcement learning.

Yaru Zhang, Kaizhou Chen, Yunlong Liu

Knowl. Based Syst., 2025

2024

Sequential action-induced invariant representation for reinforcement learning.

Dayang Liang, Qihang Chen, Yunlong Liu

Neural Networks, 2024

Learning task-relevant representations via rewards and real actions for reinforcement learning.

Linghui Yuan, Xiaowei Lu, Yunlong Liu

Knowl. Based Syst., 2024

Episodic Reinforcement Learning with Expanded State-reward Space.

Dayang Liang, Yaru Zhang, Yunlong Liu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Balancing exploration and exploitation in episodic reinforcement learning.

Qihang Chen, Qiwei Zhang, Yunlong Liu

Expert Syst. Appl., November, 2023

The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach.

Dayang Liang, Huiyi Deng, Yunlong Liu

Appl. Intell., May, 2023

2022

Learning and planning in partially observable environments without prior domain knowledge.

Yunlong Liu, Jianyang Zheng, Fangfang Chang

Int. J. Approx. Reason., 2022

Sequential Decision Making with "Sequential Information" in Deep Reinforcement Learning.

Aimin Xu, Linghui Yuan, Yunlong Liu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning.

Qihang Chen, Dayang Liang, Yunlong Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Gated multi-attention representation in reinforcement learning.

Dayang Liang, Qihang Chen, Yunlong Liu

Knowl. Based Syst., 2021

2019

Attention-Based Deep Q-Network in Complex Systems.

Kun Ni, Danning Yu, Yunlong Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Basis selection in spectral learning of predictive state representations.

Chunqing Huang, Yisheng An, Sun Zhou, Zhezheng Hong, Yunlong Liu

Neurocomputing, 2018

2014

Solving partially observable problems with inaccurate PSR models.

Yunlong Liu, Zijiang Yang, Guoli Ji

Inf. Sci., 2014

2010

Using Learned PSR Model for Planning under Uncertainty.

Yunlong Liu, Guoli Ji, Zijiang Yang

Proceedings of the Advances in Artificial Intelligence, 2010