TORCS Dataset Papers With Code

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Descrição

TORCS (The Open Racing Car Simulator) is a driving simulator. It is capable of simulating the essential elements of vehicular dynamics such as mass, rotational inertia, collision, mechanics of suspensions, links and differentials, friction and aerodynamics. Physics simulation is simplified and is carried out through Euler integration of differential equations at a temporal discretization level of 0.002 seconds. The rendering pipeline is lightweight and based on OpenGL that can be turned off for faster training. TORCS offers a large variety of tracks and cars as free assets. It also provides a number of programmed robot cars with different levels of performance that can be used to benchmark the performance of human players and software driving agents. TORCS was built with the goal of developing Artificial Intelligence for vehicular control and has been used extensively by the machine learning community ever since its inception.
TORCS Dataset  Papers With Code
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis - ScienceDirect
TORCS Dataset  Papers With Code
Decision Making Papers With Code
TORCS Dataset  Papers With Code
TORCS Dataset Papers With Code
TORCS Dataset  Papers With Code
Machine Learning Datasets
TORCS Dataset  Papers With Code
NY Contract with MCI Worldcom 2003
TORCS Dataset  Papers With Code
Matthew Muckley on LinkedIn: Announcing version 2.0 of the fastMRI dataset · Discussion #284 ·…
TORCS Dataset  Papers With Code
Sensors, Free Full-Text
TORCS Dataset  Papers With Code
PDF] Study and Comparison of General Purpose Fuzzers
TORCS Dataset  Papers With Code
第14回 配信講義 計算科学技術特論A(2021)
TORCS Dataset  Papers With Code
PDF) The WCCI 2008 simulated car racing competition
TORCS Dataset  Papers With Code
Deep_Reinforcement_Learning_for_Autonomous_Driving_A_Survey
TORCS Dataset  Papers With Code
TORCS screen-shot of DRL based lane keeping
TORCS Dataset  Papers With Code
BDCC, Free Full-Text
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