https://github.com/magni84/gym_bandits

OpenAI gym environment for multi-armed bandits
https://github.com/magni84/gym_bandits

Last synced: about 1 month ago
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OpenAI gym environment for multi-armed bandits

• Host: GitHub
• URL: https://github.com/magni84/gym_bandits
• Owner: magni84
• License: mit
• Created: 2020-02-13T13:25:25.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-24T15:09:57.000Z (over 1 year ago)
• Last Synced: 2024-05-09T21:26:11.902Z (about 2 months ago)
• Language: Python
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-deep-reinforcement-learning - magni84/gym_bandits

README

        
# Gym Bandits

A multi-armed bandits environment for Gymnasium.

## Installation instructions

Requirements: gymnasium and numpy

```

git clone https://github.com/magni84/gym_bandits.git

cd gym-gridworld

pip install -e .

```

## Usage

```

import gymnasium as gym

import gym_bandits

env = gym.make('MultiArmedBandits-v0') # 10-armed bandit

env = gym.make('MultiArmedBandits-v0', nr_arms=15) # 15-armed bandit

```