research
∙
07/16/2022
Robust AI Driving Strategy for Autonomous Vehicles
There has been significant progress in sensing, perception, and localiza...
share
research
∙
03/23/2021
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
Reinforcement learning (RL) agents with pre-specified reward functions c...
research
∙
09/20/2020
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems
Black-box artificial intelligence (AI) induction methods such as deep re...
research
∙
06/15/2020
An online evolving framework for advancing reinforcement-learning based automated vehicle control
In this paper, an online evolving framework is proposed to detect and re...
research
∙
03/18/2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
Deep reinforcement learning methods have been widely used in recent year...
research
∙
10/28/2019
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving
In this paper, we present a safe deep reinforcement learning system for ...
research
∙
03/29/2019