TORCS Dataset Papers With Code

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.

PDF] Distributed Approach for implementation of A3C on TORCS

A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information - Chen - 2020 - Computer-Aided Civil and Infrastructure Engineering - Wiley Online Library

B Ravi Kiran - CatalyzeX

PDF] Distributed Approach for implementation of A3C on TORCS

Decision Making Papers With Code

Self Driving Cars, PDF, Cognitive Science

Using Keras and Deep Deterministic Policy Gradient to play TORCS

attention_and_driving/self-driving.md at 2.0 · ykotseruba/attention_and_driving · GitHub

LayoutBench Dataset

Information, Free Full-Text

TORCS screen-shot of DRL based lane keeping

Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis

Adversarial Reinforcement Learning for Steering Cars from Virtual to Real World