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Dagger implementation on TORCS env. with trained Actor Critic master.

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Using Tensorflow and Deep Deterministic Policy Gradient to play TORCS

This repository contains tensorflow implementation of Deep Deterministic policy gradients explained in the paper http://proceedings.mlr.press/v32/silver14.pdf. The Actor Critic agent is trained to drive autonomously in the TORCS environment.

For more details and documentation please refer to the blog https://yanpanlau.github.io/2016/10/11/Torcs-Keras.html

Installation Dependencies:

How to Run?

git clone https://github.com/murthy95/DDPG_tf.git
cd DDPG_tf
python ddpg.py 

(Change :the flag train_indicator=1 in ddpg.py if you want to train the network)

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Dagger implementation on TORCS env. with trained Actor Critic master.

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