research
∙
11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
share
research
∙
07/01/2022
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning
Decision-making is critical for lane change in autonomous driving. Reinf...
research
∙
06/20/2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
Massive practical works addressed by Deep Q-network (DQN) algorithm have...
research
∙
01/30/2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
An efficient and reliable multi-agent decision-making system is highly d...
research
∙
09/26/2021
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving
Reinforcement learning requires skillful definition and remarkable compu...
research
∙
06/23/2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
To further improve the learning efficiency and performance of reinforcem...
research
∙
04/15/2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Due to the limited smartness and abilities of machine intelligence, curr...
research
∙
03/19/2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Deep reinforcement learning (DRL) is a promising way to achieve human-li...
research
∙
10/07/2020
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning
Human driving behavior modeling is of great importance for designing saf...
research
∙
05/19/2020
