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game python machine-learning reinforcement-learning reinforcement-learning-environments ai deep-learning cpp deep-reinforcement-learning artificial-intelligence neural-networks tree-search per-arne

deep_maze's Introduction

Maze environment for GYM

Deterministic Environments

Installation

pip install git+https://github.com/cair/gym-maze.git

Basic Usage

import gym
import gym_maze # This is required in order to load gym-maze

if __name__ == '__main__':
    

    # Reset environment
    env = gym.make("Maze-Arr-5x5-POMDPMaze-v0")
    s = env.reset()

    # Set terminal state to false
    terminal = False

    while not terminal:
        # Draw environment on screen
        env.render()  # For image you MUST call this

        # Draw action from distribution
        a = env.action_space.sample()

        # Perform action in environment
        s1, r, t, _ = env.step(a)
        terminal = t

        s = s1

Available Environments

There are several configurations available for gym-maze.

Fully Observable Maze

Everything is shown, no hidden information ./documentation/normal_maze.png

Partially Observable Maze

A small area around the player is shown, rest is hidden ./documentation/maze_pomdp.png

Limited Partially Observable Maze

Only the logical vision (Cannot see past walls #collison) ./documentation/pomdplimited.png

Timed Limited Partially Observable Maze

The whole maze is initially shown, After X timesteps, the maze is hidden

Environment List

A complete list of environments han be seen here

Licence

Copyright 2017 Per-Arne Andersen

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

deep_maze's People

Contributors

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deep_maze's Issues

SyntaxError: invalid syntax

pip install git+https://github.com/cair/gym-maze.git
I install gym-maze successfully. However, when I run the "Basic Usage" example, the error appears as following:
Traceback (most recent call last):
File "/home/cr/pycharmProjects/0Test/test.py", line 3, in
import gym_maze # This is required in order to load gym-maze
File "/usr/local/lib/python2.7/dist-packages/gym_maze/init.py", line 32
cls_constructor = make_constructor(args=(*size, state, mechanic, mechanic_arg))
^
SyntaxError: invalid syntax

when I change project interpreter from python2 to python3, this error disappear, but new error appear:
Traceback (most recent call last):
File "/home/cr/pycharmProjects/0Test/test.py", line 3, in
import gym_maze # This is required in order to load gym-maze
ImportError: No module named 'gym_maze'

How can I resolve this error?

Module not found, dependency out of date I assume?

(RLmaze) E:\OneDrive - University of Southampton\Reinforcement Learning>python BU.py
Traceback (most recent call last):
File "BU.py", line 9, in
env = gym.make("Maze-Img-50x50-POMDPMaze-v0")
File "C:\Users\123\anaconda3\envs\RLmaze\lib\site-packages\gym\envs\registration.py", line 676, in make
return registry.make(id, **kwargs)
File "C:\Users\123\anaconda3\envs\RLmaze\lib\site-packages\gym\envs\registration.py", line 490, in make
versions = self.env_specs.versions(namespace, name)
File "C:\Users\123\anaconda3\envs\RLmaze\lib\site-packages\gym\envs\registration.py", line 220, in versions
self._assert_name_exists(namespace, name)
File "C:\Users\123\anaconda3\envs\RLmaze\lib\site-packages\gym\envs\registration.py", line 297, in _assert_name_exists
raise error.NameNotFound(message)
gym.error.NameNotFound: Environment Maze-Img-50x50-POMDPMaze doesn't exist. Did you mean: Maze-50x50-POMDPMaze?

The interface flash back.

The interface just appear for 1 second, when I run the basic usage code. And following is the error information:

/usr/bin/python3.5 /home/cr/pycharmProjects/0Test/test.py
pygame 1.9.4
Hello from the pygame community. https://www.pygame.org/contribute.html
/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
Traceback (most recent call last):
File "/home/cr/pycharmProjects/0Test/test.py", line 18, in
a = env.action_space.sample()
AttributeError: 'int' object has no attribute 'sample'

How to solve this problem, thank you.

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