https://github.com/jlenon7/breakout_gym_env

🏋️ Exploring OpenAI gym environment for reinforcement learning algorithms.
https://github.com/jlenon7/breakout_gym_env

Last synced: 9 days ago
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🏋️ Exploring OpenAI gym environment for reinforcement learning algorithms.

• Host: GitHub
• URL: https://github.com/jlenon7/breakout_gym_env
• Owner: jlenon7
• License: mit
• Created: 2024-06-12T23:31:02.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-13T10:31:31.000Z (6 months ago)
• Last Synced: 2024-12-06T07:46:55.146Z (17 days ago)
• Language: Python
• Size: 7.33 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# OpenAI Breakout Gym Environment 🏋️

> Exploring OpenAI gym environment with Breakout game to learn reinforcement learning algorithms.

## Goals

Learn more about reinforcement learning algorithms.

## Results



## TODOs

- [ ] Train the model

- [ ] Save the model to be reused with a library like [stable-baselines](https://stable-baselines3.readthedocs.io/en/master/)

## Running

To run the gym environment first create a new Python environment and activate it. I'm using [Anaconda](https://www.anaconda.com/) for setting the python version that pipenv should use to set up the environment. The command bellow will automatically setup the environment with conda and pipenv:

```shell

make env

```

Now install all the project dependencies and Atari ROMS:

```shell

make install-all

```

To run the game to be played by a human run:

```shell

make play

```

To run the game and run random actions run:

```shell

make sample

```