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Sili Huang
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2020 – today
- 2024
- [c5]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun
, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML 2024 - [i8]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR abs/2405.20692 (2024) - [i7]Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR abs/2406.00079 (2024) - [i6]Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR abs/2409.02512 (2024) - [i5]Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun:
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR abs/2410.15698 (2024) - 2023
- [c4]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS 2023 - [i4]Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao:
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR abs/2306.04875 (2023) - [i3]Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang:
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR abs/2306.07541 (2023) - [i2]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR abs/2310.05086 (2023) - 2022
- [c3]Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS 2022 - [i1]Jifeng Hu
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR abs/2210.07636 (2022) - 2020
- [c2]Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) 2020: 3-14
2000 – 2009
- 2006
- [j1]Sili Huang, Eric E. Aubanel, Virendrakumar C. Bhavsar:
PaGrid: A Mesh Partitioner for Computational Grids. J. Grid Comput. 4(1): 71-88 (2006) - 2003
- [c1]Sili Huang, Eric E. Aubanel, Virendrakumar C. Bhavsar:
Mesh Partitioners for Computational Grids: A Comparison. ICCSA (3) 2003: 60-68
Coauthor Index
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