Skip to main content

Super Mario Bros. for OpenAI Gym

Project description

gym-super-mario-bros

PackageVersion PythonVersion Stable Format License

Mario

An OpenAI Gym environment for Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The Nintendo Entertainment System (NES) using the nes-py emulator.

Installation

The preferred installation of gym-super-mario-bros is from pip:

pip install gym-super-mario-bros

Usage

Python

You must import gym_super_mario_bros before trying to make an environment. This is because gym environments are registered at runtime. By default, gym_super_mario_bros environments use the full NES action space of 256 discrete actions. To contstrain this, gym_super_mario_bros.actions provides three actions lists (RIGHT_ONLY, SIMPLE_MOVEMENT, and COMPLEX_MOVEMENT) for the nes_py.wrappers.BinarySpaceToDiscreteSpaceEnv wrapper. See gym_super_mario_bros/actions.py for a breakdown of the legal actions in each of these three lists.

from nes_py.wrappers import BinarySpaceToDiscreteSpaceEnv
import gym_super_mario_bros
from gym_super_mario_bros.actions import SIMPLE_MOVEMENT
env = gym_super_mario_bros.make('SuperMarioBros-v0')
env = BinarySpaceToDiscreteSpaceEnv(env, SIMPLE_MOVEMENT)

done = True
for step in range(5000):
    if done:
        state = env.reset()
    state, reward, done, info = env.step(env.action_space.sample())
    env.render()

env.close()

NOTE: gym_super_mario_bros.make is just an alias to gym.make for convenience.

NOTE: remove calls to render in training code for a nontrivial speedup.

Command Line

gym_super_mario_bros feature a command line interface for playing environments using either the keyboard, or uniform random movement.

gym_super_mario_bros -e <the environment ID to play> -m <`human` or `random`>

NOTE: by default, -e is set to SuperMarioBros-v0 and -m is set to human.

Environments

These environments allow 3 attempts (lives) to make it through the 32 levels of the game. The environments only send reward-able game-play frames to agents; No cut-scenes, loading screens, etc. are sent from the NES emulator to an agent nor can an agent perform actions during these occurrences. If a cut-scene is not able to be skipped by hacking the NES's RAM, the environment will lock the Python process until the emulator is ready for the next action.

Environment Game Frameskip ROM Screenshot
SuperMarioBros-v0 SMB 4 standard
SuperMarioBros-v1 SMB 4 downsample
SuperMarioBros-v2 SMB 4 pixel
SuperMarioBros-v3 SMB 4 rectangle
SuperMarioBrosNoFrameskip-v0 SMB 1 standard
SuperMarioBrosNoFrameskip-v1 SMB 1 downsample
SuperMarioBrosNoFrameskip-v2 SMB 1 pixel
SuperMarioBrosNoFrameskip-v3 SMB 1 rectangle
SuperMarioBros2-v0 SMB2 4 standard
SuperMarioBros2-v1 SMB2 4 downsample
SuperMarioBros2NoFrameskip-v0 SMB2 1 standard
SuperMarioBros2NoFrameskip-v1 SMB2 1 downsample

Individual Levels

These environments allow a single attempt (life) to make it through a single level of the game.

Use the template

SuperMarioBros-<world>-<level>-v<version>

where:

  • <world> is a number in {1, 2, 3, 4, 5, 6, 7, 8} indicating the world
  • <level> is a number in {1, 2, 3, 4} indicating the level within a world
  • <version> is a number in {0, 1, 2, 3} specifying the ROM mode to use
    • 0: standard ROM
    • 1: downsampled ROM
    • 2: pixel ROM
    • 3: rectangle ROM
  • NoFrameskip can be added before the first hyphen to disable frame skip

For example, to play 4-2 on the downsampled ROM, you would use the environment id SuperMarioBros-4-2-v1. To disable frame skip you would use SuperMarioBrosNoFrameskip-4-2-v1.

Citation

Please cite gym-super-mario-bros if you use it in your research.

@misc{gym-super-mario-bros,
  author = {Christian Kauten},
  title = {{S}uper {M}ario {B}ros for {O}pen{AI} {G}ym},
  year = {2018},
  publisher = {GitHub},
  howpublished = {\url{https://github.com/Kautenja/gym-super-mario-bros}},
}

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gym_super_mario_bros-3.0.1.tar.gz (197.2 kB view details)

Uploaded Source

Built Distribution

gym_super_mario_bros-3.0.1-py2.py3-none-any.whl (197.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gym_super_mario_bros-3.0.1.tar.gz.

File metadata

  • Download URL: gym_super_mario_bros-3.0.1.tar.gz
  • Upload date:
  • Size: 197.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/2.7.15

File hashes

Hashes for gym_super_mario_bros-3.0.1.tar.gz
Algorithm Hash digest
SHA256 e7f323403dcdd71becc8b4997a3d939dcfcf1eff5287e79459f36000eb73bfa9
MD5 2d8eff0d35feb516da6d3e57d5a3c5d3
BLAKE2b-256 3fae36a4006528ca78e256c4c4dc98e6b3059f70afc19f0524f2365644532b45

See more details on using hashes here.

File details

Details for the file gym_super_mario_bros-3.0.1-py2.py3-none-any.whl.

File metadata

  • Download URL: gym_super_mario_bros-3.0.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 197.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/2.7.15

File hashes

Hashes for gym_super_mario_bros-3.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4d64e9fdadb3b615ff43d10ff3a14a312ee8cea57835c79d92a8cee7f716b443
MD5 c480141fe7e550ba5830a532f79b94d6
BLAKE2b-256 0327363ca0e0824586a3be3d77f47ea7d354e59bf79b278a3b9d4aaa3c06096f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page