Updates on Dec 2023:
- We have turned the BASALT competition into a benchmark to let researchers tackle the challenges at their own pace! You can find the paper here (Presented at NeurIPS 2023 Datasets & Benchmarks track as oral acceptance).
- MineRL BASALT 2022 competition has concluded. You can find the results here.
- There are no currently running MineRL competitions.
Welcome to MineRL. We want to build agents that play Minecraft using state-of-the-art Machine Learning! To do so, we have created one of the largest imitation learning datasets with over 60 million frames of recorded human player data. Our dataset includes a set of tasks which highlights many of the hardest problems with current techniques: environments with lots of hierarchy, tasks where rewards are sparse, and tasks where rewards are hard to define.
Get started by installing the environment, running your first agent and by checking out tasks designed to get you started with MineRL.
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Our project consists of three main components: