2019 IEEE 2nd Connected and Automated Vehicles Symposium (CAVS) 2019
DOI: 10.1109/cavs.2019.8887764
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Meta-Deep Q-Learning for Eco-Routing

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Cited by 7 publications
(1 citation statement)
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“…Reinforcement learning has been used for eco-driving in several studies. In [14], multi-objective deep Q-learning was utilized for the eco-routing problem to identify the best route for minimizing the traveling time and fuel consumption. In [15], and [16], a reinforcement learning algorithm was studied for minimizing the fuel consumption in the vicinity of an isolated signal intersection.…”
Section: Introductionmentioning
confidence: 99%
“…Reinforcement learning has been used for eco-driving in several studies. In [14], multi-objective deep Q-learning was utilized for the eco-routing problem to identify the best route for minimizing the traveling time and fuel consumption. In [15], and [16], a reinforcement learning algorithm was studied for minimizing the fuel consumption in the vicinity of an isolated signal intersection.…”
Section: Introductionmentioning
confidence: 99%