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An OpenAI gym environment fully compatible with OpenAI baselines implementation of various Deep Reinforcement Learning algorithms

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gym_torcs

An OpenAI gym environment fully compatible with OpenAI baselines implementation of various Deep Reinforcement Learning algorithms (DDPG,A2C,TRPO,PPO,ACER,ACKTR...).

Requirements

Python 3
This environment is intended to use the modified version of TORCS that I made:
https://github.com/DamienLancry/blocking_torcs
You will also need to

pip install gym

Getting Started

Installation

git clone https://github.com/DamienLancry/gym_torcs

Testing

python -m gym_torcs.gym_torcs.envs.torcs_env

It will not work if your configuration xml file is not correctly edited as explained in https://github.com/DamienLancry/blocking_torcs . So far I only experimented with one scr_server and no opponents.

Aknowledgement

https://github.com/ugo-nama-kun/gym_torcs (For various reasons, this environment was not compatible with OpenAI baselines.)

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An OpenAI gym environment fully compatible with OpenAI baselines implementation of various Deep Reinforcement Learning algorithms

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