https://github.com/bsamseth/gym-ais

Implementations of AIs (trying to) solve games from OpenAI Gym
https://github.com/bsamseth/gym-ais

artificial-intelligence machine-learning openai-gym reinforcement-learning

Last synced: 23 days ago
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Implementations of AIs (trying to) solve games from OpenAI Gym

• Host: GitHub
• URL: https://github.com/bsamseth/gym-ais
• Owner: bsamseth
• License: unlicense
• Created: 2018-03-16T14:41:18.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-19T07:12:23.000Z (almost 7 years ago)
• Last Synced: 2024-10-26T14:04:34.927Z (2 months ago)
• Topics: artificial-intelligence, machine-learning, openai-gym, reinforcement-learning
• Language: Python
• Homepage: https://github.com/openai/gym
• Size: 236 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![license](https://img.shields.io/badge/license-Unlicense-brightgreen.svg)](https://github.com/bsamseth/gym-AIs/blob/master/LICENSE)

# gym-AIs

This repository contains implementations of AIs (trying to) solve games from OpenAI Gym.

The code is not necessarily good, nor is all of it my original work. This is meant purely as a playground to

gain a better understanding of reinforcement learning.

## Environments

### CartPole

[CartPoleAgent.py](agents/CartPoleAgent.py) has learned to solve the CartPole environment. Below is an example simulation.

![Example simulation of a model balancing a pole on a cart.](https://github.com/bsamseth/gym-AIs/blob/master/videos/cartpole.gif)

### MountainCar

[MountainCar.py](agents/MountainCar.py) is a non-machine-learning solution to the MountainCar environment. A proper ML-based approach should

be made, but for now this is a *very* simple rule based policy driver. Below is an example simulation.

![Example simulation of a model balancing a pole on a cart.](https://github.com/bsamseth/gym-AIs/blob/master/videos/mountaincar.gif)