Simon Sinong Zhan

20 papers A* 4A 1B 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework for Rethinking Policy Divergence Measures in GRPO. CoRR Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yanning Dai, Shilong Deng, Sarra Habchi, Qi Zhu, Matthias Gallé, Chao Huang
2025	J	`jnl`	Adapting Offline Reinforcement Learning with Online Delays. CoRR Simon Sinong Zhan, Qingyuan Wu, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu
2025	A*	`conf`	Directly Forecasting Belief for Reinforcement Learning with Delays. ICML Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2025	J	`jnl`	Directly Forecasting Belief for Reinforcement Learning with Delays. CoRR Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2025	J	`jnl`	SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of LLM-based Embodied Agents. CoRR 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
2024	J	`jnl`	Boosting Long-Delayed Reinforcement Learning with Auxiliary Short-Delayed Task. CoRR Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
2024	A*	`conf`	Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. ICML Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2024	B	`conf`	Case Study: Runtime Safety Verification of Neural Network Controlled System. RV Frank Yang, Simon Sinong Zhan, Yixuan Wang, Chao Huang, Qi Zhu
2024	J	`jnl`	Case Study: Runtime Safety Verification of Neural Network Controlled System. CoRR Frank Yang, Simon Sinong Zhan, Yixuan Wang, Chao Huang, Qi Zhu
2024	J	`jnl`	Inverse Delayed Reinforcement Learning. CoRR Simon Sinong Zhan, Qingyuan Wu, Zhian Ruan, Frank Yang, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu
2024	A	`conf`	Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. IROS Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Simon Sinong Zhan, Chao Huang, Qi Zhu
2024	J	`jnl`	Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments. CoRR Simon Sinong Zhan, Qingyuan Wu, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu
2024	—	`conf`	State-wise safe reinforcement learning with pixel observations. L4DC Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu
2024	A*	`conf`	Variational Delayed Policy Optimization. NeurIPS Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
2024	J	`jnl`	Variational Delayed Policy Optimization. CoRR Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
2023	J	`jnl`	Empowering Autonomous Driving with Large Language Models: A Safety Perspective. CoRR Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	A*	`conf`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. ICML Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
2023	—	`conf`	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. ICCPS Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	J	`jnl`	State-wise Safe Reinforcement Learning With Pixel Observations. CoRR Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu
2022	J	`jnl`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. CoRR Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu