Rl-quickstart - Reinforcement Learning Quickstart

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Deep Learning rl-quickstart
Overview

Reinforcement Learning Quickstart

To get setup with the repository,

git clone https://github.com/datares/rl-quickstart.git && cd rl-quickstart

To setup the development environment

conda create -n python=3.9 rl
conda activate rl
pip install -r requirements.txt

Then finally to train the agents

python main.py

Training metrics will be printed in stdout

Viewing Results

At the end of training, a window should open to display the trained agent.

To run tensorboard, run the following in a new terminal window

tensorboard --logdir=logs

Videos are also saved to the video directory, which has .mp4 videos of the testing results.

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