Temporal Logic Guided Universal Task Representations for Reinforcement Learning

Hao Zhang, Zhangli Zhou, Zhen Kan

Task guided agents demonstrate strong performance in a wide range of complex tasks. However, most existing task representation algorithms are tailored to specific contexts and stru…