Using Learned PSR Model for Planning under Uncertainty. - Yunlong Liu 003; Guoli Ji; Zijiang Yang 001 (Canadian AI, 2010)

Solving partially observable problems with inaccurate PSR models. - Yunlong Liu 003; Zijiang Yang 001; Guoli Ji (Inf. Sci., 2014)

Basis selection in spectral learning of predictive state representations. - Chunqing Huang; Yisheng An; Sun Zhou 001; Zhezheng Hong; Yunlong Liu 003 (Neurocomputing, 2018)

Attention-Based Deep Q-Network in Complex Systems. - Kun Ni; Danning Yu; Yunlong Liu 003 (ICONIP (4), 2019)

Gated multi-attention representation in reinforcement learning. - Dayang Liang; Qihang Chen; Yunlong Liu 003 (Knowl. Based Syst., 2021)

Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning. - Qihang Chen; Dayang Liang; Yunlong Liu 003 (PAKDD (2), 2022)

Sequential Decision Making with "Sequential Information" in Deep Reinforcement Learning. - Aimin Xu; Linghui Yuan; Yunlong Liu 003 (PRICAI (3), 2022)

Learning and planning in partially observable environments without prior domain knowledge. - Yunlong Liu 003; Jianyang Zheng; Fangfang Chang (Int. J. Approx. Reason., 2022)

The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach. - Dayang Liang; Huiyi Deng; Yunlong Liu 003 (Appl. Intell., 2023)

Balancing exploration and exploitation in episodic reinforcement learning. - Qihang Chen; Qiwei Zhang; Yunlong Liu 003 (Expert Syst. Appl., 2023)

Episodic Reinforcement Learning with Expanded State-reward Space. - Dayang Liang; Yaru Zhang; Yunlong Liu 003 (AAMAS, 2024)

Learning task-relevant representations via rewards and real actions for reinforcement learning. - Linghui Yuan; Xiaowei Lu; Yunlong Liu 003 (Knowl. Based Syst., 2024)

Sequential action-induced invariant representation for reinforcement learning. - Dayang Liang; Qihang Chen; Yunlong Liu 003 (Neural Networks, 2024)

Causal representation learning in offline visual reinforcement learning. - Yaru Zhang; Kaizhou Chen; Yunlong Liu 003 (Knowl. Based Syst., 2025)