https://github.com/thomashirtz/gym-platform
OpenAI Gym environment wrapper for the Platform game.
https://github.com/thomashirtz/gym-platform
gym-platform hybrid hybrid-action-space openai openai-gym openai-gym-environment parametrized parametrized-action-space reinforcement-learning
Last synced: 6 months ago
JSON representation
OpenAI Gym environment wrapper for the Platform game.
- Host: GitHub
- URL: https://github.com/thomashirtz/gym-platform
- Owner: thomashirtz
- License: mit
- Created: 2022-03-27T10:05:31.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-27T10:15:55.000Z (over 3 years ago)
- Last Synced: 2025-05-14T17:12:17.166Z (6 months ago)
- Topics: gym-platform, hybrid, hybrid-action-space, openai, openai-gym, openai-gym-environment, parametrized, parametrized-action-space, reinforcement-learning
- Language: Python
- Homepage: https://github.com/cycraig/gym-platform
- Size: 466 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# gym-platform
OpenAI environment for training reinforcement learning algorithms possessing parametrized (hybrid) action spaces. The environment is a fork of the [cycraig gym-platform](https://github.com/cycraig/gym-platform) (archived and read-only), with the setup.py fixed. This enables the possibility to install it with pip without the need of the editable mode.
## Installation
```
pip install git+https://github.com/thomashirtz/gym-platform#egg=gym_platform
```
