Unsupervised Learning of Temporal Abstractions with Slot-based Transformers

Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber +1

The discovery of reusable sub-routines simplifies decision-making and planning in complex reinforcement learning problems. Previous approaches propose to learn such temporal abstra…