313 citations · 591 across the 5 of their papers we have counts for
5 papers
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
Carl-Johan Hoel, Krister Wolff, Leo Laine
Reinforcement learning (RL) can be used to create a decision-making agent for autonomous driving. However, previous approaches provide only black-box solutions, which do not offer…
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
Carl-Johan Hoel, Tommy Tram, Jonas Sjöberg
This paper investigates how a Bayesian reinforcement learning method can be used to create a tactical decision-making agent for autonomous driving in an intersection scenario, wher…
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…
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…
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…