Task Phasing: Automated Curriculum Learning from Demonstrations. (arXiv:2210.10999v1 [cs.LG])

Applying reinforcement learning (RL) to sparse reward domains is notoriously
challenging due to insufficient guiding signals. Common techniques for
addressing such domains include (1) learning from demonstrations and (2)
curriculum learning. While these two approaches have been studied in detail,
they have rarely been considered together. This paper aims to do so by
introducing a principled task phasing approach that uses demonstrations to
automatically generate a curriculum sequence. Using inverse RL from
(suboptimal) demonstrations we define a simple initial task. …

arxiv curriculum curriculum learning