[HTML][HTML] Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He… - Sensors (Basel …, 2023 - pubmed.ncbi.nlm.nih.gov
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He… - Sensors (Basel …, 2023 - europepmc.org
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He, H Tan - tspace.library.utoronto.ca
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
[HTML][HTML] Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He… - Sensors (Basel …, 2023 - ncbi.nlm.nih.gov
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He, H Tan - Sensors, 2023 - ui.adsabs.harvard.edu
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.
J Feng, T Shi, Y Wu, X Xie, H He… - Sensors (14248220 …, 2023 - search.ebscohost.com
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
J Feng, T Shi, Y Wu, X Xie, H He, H Tan - Sensors, 2023 - search.proquest.com
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.
J Feng, T Shi, Y Wu, X Xie, H He… - Sensors (Basel …, 2023 - europepmc.org
In advanced transportation-management systems, variable speed limits are a crucial
application. Deep reinforcement learning methods have been shown to have superior …
application. Deep reinforcement learning methods have been shown to have superior …