The MineRL Python Package
Python package providing easy to use gym environments and a simple data api for the MineRLv0 dataset.
To get started please read the docs here!
We develop minerl in our spare time, please consider supporting us on Patreon <3
With JDK-8 installed run this command
pip3 install --upgrade minerl
Running an environment:
import minerl
import gym
env = gym.make('MineRLNavigateDense-v0')
obs, _ = env.reset()
done = False
while not done:
action = env.action_space.sample()
# One can also take a no_op action with
# action =env.action_space.noop()
obs, reward, done, info = env.step(
action)Sampling the dataset:
import minerl
# YOU ONLY NEED TO DO THIS ONCE!
minerl.data.download('/your/local/path')
data = minerl.data.make('MineRLObtainDiamond-v0')
# Iterate through a single epoch gathering sequences of at most 32 steps
for obs, rew, done, act in data.seq_iter(num_epochs=1, max_sequence_len=32):
print("Number of diffrent actions:", len(act))
for action in act:
print(act)
print("Number of diffrent observations:", len(obs), obs)
for observation in obs:
print(obs)
print("Rewards:", rew)
print("Dones:", done)If you're here for the MineRL competition. Please check the main competition website here.