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Classic Control Problems with Normalized Advantage Functions and Deep Q-Learning.

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mlnd-openai-gym

Udacity MLND Capstone: Classic Control Problems with Normalized Advantage Functions

Using Normalize Advantage Functions from http://arxiv.org/abs/1603.00748 to solve OpenAI Gym Classic Control environments.

Dependencies: tensorflow r0.10

pip install gym numpy

To run the simulation, you can use the following commands:

python main.py
python main.py -e CartPole-v0
python main.py -e MountainCar-v0
python main.py -e Acrobot-v0

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Classic Control Problems with Normalized Advantage Functions and Deep Q-Learning.

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