2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
ICML 2021spotlight
We address the problem of teaching a deep reinforcement learning (RL) agent to follow instructions in multi-task environments. Instructions are expressed in a well-known formal language {–} linear temporal logic (LTL) {–} and can specify a diversity of complex, temporally extended behaviours, includ…