Releases: minerllabs/minerl
v1.0.2 - Fix newer gym
v1.0.1 - Hotfixes on installation
This version is essentially v1.0.0 with small additions, but primarly with fixed installation procedure.
v1.0 release (OpenAI VPT)
This version supports OpenAI VPT models and the BASALT 2022 competition.
MineRL v0.4.0
handers..equip.py: Reduce from_universal warning verbosity (#540) * handers..equip.py: Reduce from_universal warning verbosity * even more filtering
MineRL 0.3.2
0.3 Stable version
Major changes:
* Released MineRLObtainDiamondVectorObf-v0 (and other obfuscated environments for the competition! See http://minerl.io/)
* Released new V3 dataset containing both obfuscated and standard env data.
* Internally refactored the MineRL API to use env handlers.
* Unified the data publishing and environment specification API
* Forced all spaces to return Numpy arrays and scalars.
* Open sourced the data publishing pipeline
* Added forbidden streams to the data pipeline
* Rewrote the MineRL viewer to be extensible and support rendering for competition streams
* Rehosted the data on S3, drastically increasing
* Made Asia and Europe mirrors for the dataset.
* Made new MineRL download method (supports sharding and mirrors)
MineRL v0.2.0
Dataset update -
Fixes multiple issues with alignment and invalid handlers, please ensure you download the latest dataset with minerl.dataset.download()!
Test automated PyPI deployment
Test deploy to pypi upon taging (#120) * Test deploying to pypi upon taging * Updating secure password