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Augmented Random Search Implementation

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Augmented Random Search Implementation

ARS is method for training linear policies for continuous control problems

Getting Started

git clone https://github.com/VictorOmondi1997/pyconke

install and create and activate virtual environment

sudo apt-get install python-virtualenv

create virtualenv

virtualenv --python=python3.5 venv

activate virtual environment

source venv bin/activate

Installing packages

pip install -r requirements.txt

Option 1 Running Jupyter Notebook

jupyter notebook

Open your browser and open Augmented Random Search.ipynb file

http://localhost:8888

run the cells

shift + Enter

Option 2 Running python file

python ars.py

Resources

Additional resources

ARS paper

  • Link to the paper - Simple random search provides a competitive approach to reinforcement learning

Author

  • Victor Omondi
  • Allan Kiplangat
  • JoyRouzzie

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • PyconKE

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