331 citations · 798 across the 13 of their papers we have counts for
5 papers · 1 filter
Numerically Stable Dynamic Bicycle Model for Discrete-time Control
Qiang Ge, Shengbo Eben Li, Qi Sun +1
Dynamic/kinematic model is of great significance in decision and control of intelligent vehicles. However, due to the singularity of dynamic models at low speed, kinematic models h…
Centralized Coordination of Connected Vehicles at Intersections using Graphical Mixed Integer Optimization
Qiang Ge, Qi Sun, Zhen Wang +3
This paper proposes a centralized multi-vehicle coordination scheme serving unsignalized intersections. The whole process consists of three stages: a) target velocity optimization:…
Mixed Reinforcement Learning with Additive Stochastic Uncertainty
Yao Mu, Shengbo Eben Li, Chang Liu +4
Reinforcement learning (RL) methods often rely on massive exploration data to search optimal policies, and suffer from poor sampling efficiency. This paper presents a mixed reinfor…
Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data
Jingliang Duan, Shengbo Eben Li, Yang Guan +2
Decision making for self-driving cars is usually tackled by manually encoding rules from drivers' behaviors or imitating drivers' manipulation using supervised learning techniques.…
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan, Yang Guan, Shengbo Eben Li +2
In reinforcement learning (RL), function approximation errors are known to easily lead to the Q-value overestimations, thus greatly reducing policy performance. This paper presents…