Simon Sinong Zhan

According to our database, Simon Sinong Zhan authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL.

Zhenyang Ni, Yijiang Li, Ruochen Jiao, Simon Sinong Zhan, Sipeng Chen, Zhenfei Yin, Minshuo Chen, Philip Torr, Zhaoran Wang, Qi Zhu

CoRR, May, 2026

LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries.

Jiacheng Lin, Kun Qian, Arvind Srinivasan, Tian Wang, Fang Han, Changran Hu, Junze Liu, Ziyi Wang, Hanwen Xu, Mengmeng Xue, Shuo Yang, Hansi Zeng, Simon Sinong Zhan, Kai Zhong, Weiqi Zhang, Dakuo Wang, Tianhao Wang, Zhiyuan Li

CoRR, May, 2026

A Unified Framework for Rethinking Policy Divergence Measures in GRPO.

Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yanning Dai, Shilong Deng, Sarra Habchi, Qi Zhu, Matthias Gallé, Chao Huang

CoRR, February, 2026

2025

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of LLM-based Embodied Agents.

Simon Sinong Zhan, Yao Liu, Philip Wang, Zinan Wang, Qineng Wang, Zhian Ruan, Xiangyu Shi, Xinyu Cao, Frank Yang, Kangrui Wang, Huajie Shao, Manling Li, Qi Zhu

CoRR, October, 2025

Adapting Offline Reinforcement Learning with Online Delays.

Simon Sinong Zhan, Qingyuan Wu, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu

CoRR, June, 2025

Directly Forecasting Belief for Reinforcement Learning with Delays.

Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Inverse Delayed Reinforcement Learning.

Simon Sinong Zhan, Qingyuan Wu, Zhian Ruan, Frank Yang, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu

CoRR, 2024

Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments.

Simon Sinong Zhan, Qingyuan Wu, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu

CoRR, 2024

Boosting Long-Delayed Reinforcement Learning with Auxiliary Short-Delayed Task.

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

CoRR, 2024

Case Study: Runtime Safety Verification of Neural Network Controlled System.

Frank Yang, Simon Sinong Zhan, Yixuan Wang, Chao Huang, Qi Zhu

Proceedings of the Runtime Verification - 24th International Conference, 2024

Variational Delayed Policy Optimization.

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

State-wise safe reinforcement learning with pixel observations.

Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling.

Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Simon Sinong Zhan, Chao Huang, Qi Zhu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays.

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

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

2023

Empowering Autonomous Driving with Large Language Models: A Safety Perspective.

Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CoRR, 2023

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments.

Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu

Proceedings of the International Conference on Machine Learning, 2023

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.

Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023