Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. - Jinning Li 002; Chen Tang 001; Masayoshi Tomizuka; Wei Zhan (CoRL, 2021)

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. - Jinning Li 002; Liting Sun; Jianyu Chen; Masayoshi Tomizuka; Wei Zhan (ICRA, 2021)

Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data. - Jinning Li 002; Liting Sun; Wei Zhan; Masayoshi Tomizuka (CoRR, 2021)

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. - Jinning Li 002; Liting Sun; Masayoshi Tomizuka; Wei Zhan (CoRR, 2021)

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. - Jinning Li 002; Chen Tang 001; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2022)

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. - Jiachen Li 001; Hengbo Ma; Zhihao Zhang 001; Jinning Li 002; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2022)

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. - Yuxin Chen; Chen Tang 001; Ran Tian; Chenran Li; Jinning Li 002; Masayoshi Tomizuka; Wei Zhan (AAMAS, 2024)

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. - Jinning Li 002; Xinyi Liu; Banghua Zhu; Jiantao Jiao; Masayoshi Tomizuka; Chen Tang 001; Wei Zhan (ICRA, 2024)

Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. - Yuxin Chen; Chen Tang 001; Thomas Tian; Chenran Li; Jinning Li 002; Masayoshi Tomizuka; Wei Zhan (RLJ, 2024)

Safe and Trustworthy Decision Making through Reinforcement Learning - Jinning Li 002 (2024)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. - Jinning Li 002; Jiachen Li 001; Sangjae Bae; David Isele (IEEE Robotics Autom. Lett., 2025)