Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions

Alessandro Abate, Giuseppe De Giacomo, Mathias Jackermeier +3

We study multi-task reinforcement learning (RL), a setting in which an agent learns a single, universal policy capable of generalising to arbitrary, possibly unseen tasks. We consi…