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LTL2Action: Generalizing LTL Instructions for Multi-Task RL
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WebAbstract. Linear temporal logic (LTL) is a speci cation language for nite sequences (called traces) widely used in program veri cation, mo-tion planning in robotics, process mining, and many other areas. We consider the problem of learning formulas in fragments of LTL without the U-operator for classifying traces; despite a growing interest of ... WebLogically-Constrained Reinforcement Learning (LCRL) is a model-free reinforcement learning framework to synthesise policies for unknown, continuous-state-action Markov Decision Processes (MDPs) under a given Linear Temporal Logic (LTL) property. LCRL automatically shapes a synchronous reward function on-the-fly. Web25 feb. 2024 · Georgia Institute of Technology. 4.6 (1,902 ratings) . 78K Students Enrolled. Enroll for Free. This Course. Video Transcript. This course will provide a solid understanding of what a supply chain is all about. The course: - Provides an introduction to Supply Chain - Leverages graphics to promote the Integrated Supply Chain model - Emphasizes ... the last of us hbo full cast