Using Keras and Deep Deterministic Policy Gradient to play TORCS

Using PyTorch and DDPG to play Torcs

Deep reinforcement learning - DDPG algorithm with self driving car in Torcs

Reinforcement learning of driving a racing car in TORCS using DDPG algorithm

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

用PyTorch重构流传最广的Keras、TensorFlow做的TORCS实验。训练DDPG模型。

DDPG with Gaussian noise for autonomous driving in TORCS

Implementation of Deep Deterministic Policy Gradient with Keras in TORCS racing car videogame

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Designing a DDPG algorithm for approaching the lane keeping problem in the autonomous ground vehicle driving.

Training a Self-Driving Race Car in the TORCS environment using DDPG. Implemented as a project for the Graduate level Deep Reinforcement Learning course.

This Repo is an implementation of DDPG algorithm using tensorflow on TORCS simluator

AI project: Torcs Reinforcement Learning using DDPG and Pytorch

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Learning how to drive from scratch with DDPG algorithm

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Using Keras and Deep Deterministic Policy Gradient to play TORCS -- Anvanced version

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DDPG with Torcs

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A TORCS self-driving simulation

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Using Keras and Deep Deterministic Policy Gradient to play TORCS

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This repository gives the detailed steps followed in setting up the Torcs simulator for reinforcement learning.

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