3 papers
cs.RO2020
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation
Carl-Johan Hoel, Krister Wolff, Leo Laine
Reinforcement learning (RL) can be used to create a tactical decision-making agent for autonomous driving. However, previous approaches only output decisions and do not provide inf…
cs.RO2019
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff +2
Tactical decision making for autonomous driving is challenging due to the diversity of environments, the uncertainty in the sensor information, and the complex interaction with oth…
cs.RO2018
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning
Carl-Johan Hoel, Krister Wolff, Leo Laine
This paper introduces a method, based on deep reinforcement learning, for automatically generating a general purpose decision making function. A Deep Q-Network agent was trained in…