The MineRL Python Package
Python package providing easy to use Gym environments and data access for training agents in Minecraft.
Curious to see what people have done with MineRL? See this page where we collect projects using MineRL. Got a project using MineRL (academic or fun hobby project)? Edit this file, add links to your projects and create a PR!
To get started with MineRL, check out the docs here!
The original data mirrors for MineRL-v0 are down (e.g., original MineRLObtainDiamond-v0 data). We have uploaded copies of the primary datasets to this Zenodo record so people can find them: https://zenodo.org/records/12659939
MineRL consists of three unique versions, each with a slightly different sets of features. See full comparison here.
- v1.0: [Code][Docs] This version you are looking at. Needed for the OpenAI VPT models and the MineRL BASALT 2022 competition.
- v0.4: [Code][Docs]
Version used in the 2021 competitions (Diamond and BASALT). Supports the original MineRL-v0 dataset. Install with
pip install minerl==0.4.4 - v0.3: [Code][Docs]
Version used prior to 2021, including the first two MineRL competitions (2019 and 2020). Supports the original MineRL-v0 dataset. Install with
pip install minerl==0.3.7
Install requirements (Java JDK 8 is required. Mac may require additional steps) and then install MineRL with
pip install git+https://github.com/minerllabs/minerl
Can be used much like any Gym environment:
import gym
import minerl
# Uncomment to see more logs of the MineRL launch
# import coloredlogs
# coloredlogs.install(logging.DEBUG)
env = gym.make("MineRLBasaltBuildVillageHouse-v0")
obs = env.reset()
done = False
while not done:
ac = env.action_space.noop()
# Spin around to see what is around us
ac["camera"] = [0, 3]
obs, reward, done, info = env.step(ac)
env.render()
env.close()Check the documentation for further examples and notes.
- New Minecraft version (11.2 -> 16.5)
- Larger resolution by default (64x64 -> 640x360)
- Near-human action-space: no more
craftandsmeltactions. Only GUI and mouse control (camera action moves mouse around). - Observation space is only pixels, no more inventory observation by default.
