Deep-RL-TORCS
Autonomous Navigation using Deep Reinforcement Learning
Stars
21
Ecosystems:
Python
Deep Reinforcement Learning approach to Autonomous Navigation
Abstract
In this project we use state-of-the-art RL algorithms to explore the problem of Autonomous Navigation. Specifically, we employ DeepMind's DDPG (Deep Deterministic Policy Gradient) algorithm to learn an agent for navigation in TORCS simulation environment.
Simulation Environment
We use TORCS(gym_torcs) simulation environment for this task.
Demo
Training
Testing
Installation Dependencies:
- Python 2.7
- Keras 1.1.0
- Tensorflow r0.10
- gym_torcs
How to Run?
git clone https://github.com/bhanuvikasr/Deep-RL-TORCS.git
cd DDPG-Keras-Torcs
cp *.* ~/gym_torcs
cd ~/gym_torcs
python ddpg.py
(Change the flag train_indicator=1 in ddpg.py if you want to train the network)
Credits
Thanks to Yanpanlau