4 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Jinning Li, Chen Tang, Masayoshi Tomizuka +1
Reinforcement Learning (RL) has been shown effective in domains where the agent can learn policies by actively interacting with its operating environment. However, if we change the…
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Jiachen Li, Hengbo Ma, Zhihao Zhang +2
An effective understanding of the environment and accurate trajectory prediction of surrounding dynamic obstacles are indispensable for intelligent mobile systems (e.g. autonomous…
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
Jinning Li, Liting Sun, Wei Zhan +1
Autonomous vehicles (AVs) need to interact with other traffic participants who can be either cooperative or aggressive, attentive or inattentive. Such different characteristics can…
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
Jinning Li, Liting Sun, Jianyu Chen +2
Autonomous vehicles need to handle various traffic conditions and make safe and efficient decisions and maneuvers. However, on the one hand, a single optimization/sampling-based mo…