torcs

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Lane keeping assistant using Reinforcement learning

Docker-based, gym-like torcs environment with vision.

Performance Evaluation of Imitation Learning, DAGGER and HG-DAGGER

PyTorch implementation of Deterministic Policy Gradient (DDPG) and Proximal Policy Optimization (PPO) on TORCS (The Open Racing Car Simulator)

An AI agent based on Supervised Learning for TORCS

autonomous driving in video games

A simple artificially intelligent client run on the torcs server.

A track editor for TORCS

Deep learning framework for autonomous driving in TORCS

Torcs Controller's AI

A server-worker based distributed framework for A3C algorithm implemented for TORCS racing car simulator

AI driver built on Torcs network client

TORCS interactive node.js client for running autonomous driver bots

self driving car using Torcs-1.3.7 simulator with server-patch

SCR 2013 patch for Torcs 1.3.7

MSc thesis Prototype: Quality Diversity (MAP‑Elites) for procedural racing tracks. Voronoi/Convex Hull generators → spline tracks → headless TORCS sims → UMAP‑guided behavior space → web visualizer.