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2020 – today
- 2025
[c2]Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. AAAI 2025: 20929-20937- [c1]Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao:
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. ICLR 2025 - [i5]Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao:
Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. CoRR abs/2502.08336 (2025) - [i4]Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao:
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. CoRR abs/2503.12854 (2025) - [i3]Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao:
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. CoRR abs/2505.10832 (2025) - 2024
- [j1]Wenfeng Hu
, Wei Ge, Songjun Tu, Ji Ma:
Leader-following consensus for linear multi-agent systems with transient performance improvement: A reset control approach. J. Frankl. Inst. 361(17): 107159 (2024) - [i2]Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR abs/2412.09104 (2024) - [i1]Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao:
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR abs/2412.16878 (2024)
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