The code is a slightly modified version of Minedojo.
Please refer to this document for the package installation and use. Note that Python>=3.9 is required.
Install modified MineDojo:
pip uninstall minedojo
Clone this repo.
Run `python setup.py install`
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We allow repeatedly making a programmatic task.
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In minedojo.make(), we allow overriding all the default parameters in programmatic tasks (e.g. lidar_rays, initial_inventory).
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We add some mirror URLs to load the simulator faster.
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We support randomly teleporting the player in the fast_reset mode: when calling env.reset(), the player will be teleported to a random location near its initial spawn point.
In minedojo.make(), use fast_reset=True to enable random teleportation:
env = minedojo.make(
task_id="harvest_wool_with_shears_and_sheep",
image_size=(160, 256),
fast_reset=True,
fast_reset_random_teleport_range_low=0,
fast_reset_random_teleport_range_high=100,
)
Then calling env.reset(), the player will be teleported in a distance range of [0,100] by default. To disable moving the agent, use env.reset(move_flag = False).
If you don't set the fast_reset parameters in minedojo.make(), our environment is the same as the original MineDojo.
If you find the environment useful, please consider citing Minedojo.
@article{fan2022minedojo,
title = {MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge},
author = {Linxi Fan and Guanzhi Wang and Yunfan Jiang and Ajay Mandlekar and Yuncong Yang and Haoyi Zhu and Andrew Tang and De-An Huang and Yuke Zhu and Anima Anandkumar},
year = {2022},
journal = {arXiv preprint arXiv: Arxiv-2206.08853}
}