BipedalWalker: Use OpenAI Gym's BipedalWalker environment.
Finance: Train an agent to discover optimal trading strategies.
Labs / Projects
The labs and projects can be found below. All of the projects use rich simulation environments from Unity ML-Agents. In the Deep Reinforcement Learning Nanodegree program, you will receive a review of your project. These reviews are meant to give you personalized feedback and to tell you what can be improved in your code.
The Taxi Problem: In this lab, you will train a taxi to pick up and drop off passengers.
Navigation: In the first project, you will train an agent to collect yellow bananas while avoiding blue bananas.
Continuous Control: In the second project, you will train an robotic arm to reach target locations.
If running in Windows, ensure you have the "Build Tools for Visual Studio 2019" installed from this site. This article may also be very helpful. This was confirmed to work in Windows 10 Home.
Follow the instructions in this repository to perform a minimal install of OpenAI gym.
Next, install the classic control environment group by following the instructions here.
Then, install the box2d environment group by following the instructions here.
Clone the repository (if you haven't already!), and navigate to the python/ folder. Then, install several dependencies.
git clone https://github.com/udacity/deep-reinforcement-learning.git
cd deep-reinforcement-learning/python
pip install .
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