Rl-quickstart - Reinforcement Learning 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.

Owner
UCLA DataRes
We are UCLA's premier data science and machine learning organization. We work on problems ranging from data analysis to deep and reinforcement learning.
UCLA DataRes
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