Planning with Abstract Learned Models While Learning Transferable Subtasks

John Winder, Stephanie Milani, Matthew Landen +5

We introduce an algorithm for model-based hierarchical reinforcement learning to acquire self-contained transition and reward models suitable for probabilistic planning at multiple…