Domingo Esteban

Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies

A common strategy to deal with the expensive reinforcement learning (RL) of complex tasks is to decompose them into a collection of subtasks that are usually simpler to learn as well as reusable for new problems. However, when a robot learns the policies for these subtasks, common approaches treat e…