Maze environments for Reinforcement Learning
Project description
# mazenv-py
A Python port of [unixpickle/mazenv](https://github.com/unixpickle/mazenv) that uses OpenAI Gym.
# Installation
You can install mazenv with pip:
```
pip install mazenv
```
# Usage
You can generate a random 8x8 maze like this:
```
import mazenv
maze = mazenv.prim((8, 8))
print(maze)
```
You can create a Gym environment out of your maze like this:
```
env = mazenv.Env(maze)
```
If you want to restrict the observations to a 5x5 grid centered around the current position, you can do:
```
restricted_env = mazenv.HorizonLimit(env, horizon=2)
```
A Python port of [unixpickle/mazenv](https://github.com/unixpickle/mazenv) that uses OpenAI Gym.
# Installation
You can install mazenv with pip:
```
pip install mazenv
```
# Usage
You can generate a random 8x8 maze like this:
```
import mazenv
maze = mazenv.prim((8, 8))
print(maze)
```
You can create a Gym environment out of your maze like this:
```
env = mazenv.Env(maze)
```
If you want to restrict the observations to a 5x5 grid centered around the current position, you can do:
```
restricted_env = mazenv.HorizonLimit(env, horizon=2)
```
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