TORCS Dataset Papers With Code
Por um escritor misterioso
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.
attention_and_driving/self-driving.md at 2.0 · ykotseruba/attention_and_driving · GitHub
TORCS Dataset Papers With Code
Decision Making Papers With Code
TFW: Annotated Thermal Faces in the Wild Dataset Dataset
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Deep_Reinforcement_Learning_for_Autonomous_Driving_A_Survey
Graphical TORCS driver model and the corresponding training configurations.
Machine Learning Datasets
Some statistics on our scholarly paper dataset.
BURST Dataset Papers With Code
Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis
Pseudo-code of dynamic scheduling framework with grouped whales (DSF.GW)
Matthew Muckley on LinkedIn: Announcing version 2.0 of the fastMRI dataset · Discussion #284 ·…
de
por adulto (o preço varia de acordo com o tamanho do grupo)
