https://github.com/mishig25/gymboard

Render OpenAI Gym envs in TensorBoard
https://github.com/mishig25/gymboard

gym tensorboard tensorflow2

Last synced: 19 days ago
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Render OpenAI Gym envs in TensorBoard

• Host: GitHub
• URL: https://github.com/mishig25/gymboard
• Owner: mishig25
• License: mit
• Created: 2020-05-25T04:18:46.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-10T15:04:50.000Z (over 4 years ago)
• Last Synced: 2024-12-03T15:48:26.912Z (about 1 month ago)
• Topics: gym, tensorboard, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 3.3 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# GymBoard - A small wrapper class that lets you render OpenAI Gym envs (as GIFs) in TensorBoard's Images tab



### Installation:

```bash

pip install git+https://github.com/mishig25/GymBoard

```

### Example usage:

in your python file, call:

```python

import gym

from gymboard import GymBoard

env = gym.make('CartPole-v0')

gboard = GymBoard()

gboard.show()

gboard.write_env(env, step=0)

```

Checkout the notebook [here](https://github.com/mishig25/GymBoard/blob/master/tutorial.ipynb) for more comprehensive example.

License: MIT