5 papers · 1 filter
A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
Elahe Delavari, Feeza Khan Khanzada, Jaerock Kwon
Autonomous-driving research has recently embraced deep Reinforcement Learning (RL) as a promising framework for data-driven decision making, yet a clear picture of how these algori…
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
Elahe Delavari, Feeza Khan Khanzada, Jaerock Kwon
Reinforcement Learning (RL) offers a promising framework for autonomous driving by enabling agents to learn control policies through interaction with environments. However, large a…
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
Elahe Delavari, John Moore, Junho Hong +1
This paper presents a novel Perceptual Motor Learning (PML) framework integrated with Active Inference (AIF) to enhance lateral control in Highly Automated Vehicles (HAVs). PML, in…
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
Elahe Delavari, Aws Khalil, Jaerock Kwon
End-to-end vision-based imitation learning has demonstrated promising results in autonomous driving by learning control commands directly from expert demonstrations. However, tradi…
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control
Elahe Delavari, John Moore, Junho Hong +1
This paper presents a novel approach to Autonomous Vehicle (AV) control through the application of active inference, a theory derived from neuroscience that conceptualizes the brai…