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.
Using Keras and Deep Deterministic Policy Gradient to play TORCS
CARLA Dataset Papers With Code
Sensors, Free Full-Text
B Ravi Kiran - CatalyzeX
Performance after training across all environments for at most 2.5
Information, Free Full-Text
Machine Learning Datasets
Imitation Learning
Deep_Reinforcement_Learning_for_Autonomous_Driving_A_Survey
Human-inspired autonomous driving: A survey - ScienceDirect
attention_and_driving/self-driving.md at 2.0 · ykotseruba/attention_and_driving · GitHub
Waymo Open Dataset Dataset
Learning a Driving Simulator – arXiv Vanity
