https://github.com/agermanidis/gym-omegle
OpenAI Gym Environment for Omegle
https://github.com/agermanidis/gym-omegle
openai-gym
Last synced: 4 months ago
JSON representation
OpenAI Gym Environment for Omegle
- Host: GitHub
- URL: https://github.com/agermanidis/gym-omegle
- Owner: agermanidis
- Created: 2017-01-25T23:18:55.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-02-14T05:06:54.000Z (over 9 years ago)
- Last Synced: 2025-07-22T18:40:20.250Z (11 months ago)
- Topics: openai-gym
- Language: Python
- Homepage:
- Size: 1.95 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# gym-omegle: An OpenAI Gym environment for Omegle
Defines an [OpenAI Gym](https://gym.openai.com/) environment (`omegle-v0`) for training agents to chat with strangers on Omegle.
Uses Selenium with Chrome to perform the actions on the Omegle website.
### Environment
__Observation space__: last message received by the stranger; each word is encoded using the [GloVe](http://nlp.stanford.edu/projects/glove/) algorithm trained on the Common Crawl corpus.
__Action space__: 98 actions in total; 95 actions for each of the [printable ASCII characters](http://www.ascii-code.com/), plus the following 3 actions:
1. send current message
2. clear current message
3. wait for 1 second
__Reward__: 1 if the stranger has written a new message; 0 otherwise.
### Installation
```
$ pip install .
```
### Usage
```python
import gym
import gym_omegle
class RandomAgent(object):
"""The world's simplest agent!"""
def __init__(self, action_space):
self.action_space = action_space
def act(self, observation, reward, done):
return self.action_space.sample()
env = gym.make("omegle-v0")
agent = RandomAgent(env.action_space)
reward = 0
done = False
episode_count = 3
for i in range(episode_count):
ob = env.reset()
while True:
action = agent.act(ob, reward, done)
ob, reward, done, _ = env.step(action)
if done:
break
env.close()
```