TOWARD LEARNING HUMAN-LIKE, SAFE AND COMFORTABLE CAR-FOLLOWING POLICIES WITH A NOVEL DEEP REINFORCEMENT LEARNING APPROACH

Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach

In this paper, we present an advanced adaptive cruise control (ACC) concept powered by Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car-following policies.Unlike the current trend in developing DRL-based ACC systems, we propose defining the action space of the DRL agent with estes c6-5 engines bulk pack discret

read more

GeoTh: An Experimental Laboratory Set-Up for the Measurement of the Thermal Conductivity of Granular Materials

GeoTh is a new, simple, efficient, flexible, low-cost experimental laboratory apparatus.These features make it an excellent technological tool for measuring the thermal conductivity of granular materials, e.g., soils, sand, silt, clay or artificial composites.In particular, a configuration based on the one-dimensional heat conduction in steady-stat

read more

Time as a Barrier to International Trade and Economic Growth: The Role of Information and Communication Technology in Reducing Time Cost

The study examines the relationship between reducing time and international trade.Primarily, light pink yeti tumbler through the role of information and communication technology, within the trade facilities, in reducing the time required for import and export, and discussing its impact on economic growth.The Two-Stages Least Squares method was used

read more

Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae)

Terrestrial gastropods are among the most imperiled groups of organisms on Earth.Many species have a complex taxonomic history, often including poorly defined subspecies, most of which have not been the focus of modern systematics research.Genomic tools, geometric morphometrics, and environmental niche modeling were used to assess the taxonomic sta

read more