A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward

24 September 2020

Papers citing "A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward"

8 / 8 papers shown

Title
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment Ali Alizadeh Majid Moghadam Yunus Bicer N. K. Üre M. U. Yavas C. Kurtulus 65 97 0 18 Sep 2019
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving C. Hoel Katherine Driggs-Campbell Krister Wolff L. Laine Mykel J. Kochenderfer 70 232 0 06 May 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 79 142 0 26 Feb 2019
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning C. Hoel Krister Wolff L. Laine 43 175 0 14 Mar 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,265 0 06 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,821 0 19 Aug 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 114 1,480 0 03 Oct 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015