  To facilitate research in the direction of fine-tuning foundation models from
human feedback, we held the MineRL BASALT Competition on Fine-Tuning from Human
Feedback at NeurIPS 2022. The BASALT challenge asks teams to compete to develop
algorithms to solve tasks with hard-to-specify reward functions in Minecraft.
Through this competition, we aimed to promote the development of algorithms
that use human feedback as channels to learn the desired behavior. We describe
the competition and provide an overview of the top solutions. We conclude by
discussing the impact of the competition and future directions for improvement.
