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Nico Melone
2018-08-27 14:07:26 -05:00
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# reinforcement-learning-quad-copter
A reinforcement learning task to have a simulated quad copter learn to achieve a particular goal
This project was part of the Machine Learning Engineer nanodegree from Udacity. The assignment was to create a task and agent to train a quad copter in simulation. The task was left open ended as well was the model but the simulation environment was provided. I chose to have the quad copter try to learn to fly to a designated location and hover there. This is seen in the task.py file under the get_reward method. I employed a DDPG agent through the Keras-RL infrastructure. DDPG is a model that uses two networks that cooperate to acheive a task. One is the Actor and performs a task while the other is a Critic that judges how well the actor did a task. Both networks start out untrained and learn in tandum.
This project was part of the Machine Learning Engineer nano-degree from Udacity. The assignment was to create a task and agent to train a quad copter in simulation. The task was left open ended as well was the model but the simulation environment was provided. I chose to have the quad copter try to learn to fly to a designated location and hover there. This is seen in the task.py file under the get_reward method. I employed a DDPG agent through the Keras-RL infrastructure. DDPG is a model that uses two networks that cooperate to achieve a task. One is the Actor and performs a task while the other is a Critic that judges how well the actor did a task. Both networks start out untrained and learn in tandem.