Sili Huang

According to our database, Sili Huang authored at least 15 papers between 2003 and 2025.

Collaborative distances:

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

2025

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments.

Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang

IEEE Trans. Ind. Informatics, July, 2025

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO.

Sili Huang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang, Lichao Sun, Bo Yang

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Decision Flow Policy Optimization.

Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao

CoRR, May, 2025

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.

Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, May, 2025

2024

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.

Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun

CoRR, 2024

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.

Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, 2024

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.

Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.

Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.

Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang

CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.

Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.

Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.

Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang

Proceedings of the Knowledge Science, Engineering and Management, 2020

2006

PaGrid: A Mesh Partitioner for Computational Grids.

Sili Huang, Eric E. Aubanel, Virendrakumar C. Bhavsar

J. Grid Comput., 2006

2003

Mesh Partitioners for Computational Grids: A Comparison.

Sili Huang, Eric E. Aubanel, Virendrakumar C. Bhavsar

Proceedings of the Computational Science and Its Applications, 2003