Temporal Logic Guided Universal Task Representations for Reinforcement Learning
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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 struggle to generalize across diverse scenarios. Moreover, they typically depend on ... ...
