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PlatoLTL: Learning to Generalize Across Symbols in LTL Instructions for Multi-Task RL
2026Jacques Cloete, Mathias Jackermeier et al.
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One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
2025Zijian Guo, Ilker Isik et al.
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2024Xuan-Bach Le, Dominik Wagner et al.
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2024Mathias Jackermeier, Alessandro Abate
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2024Duo Xu, F. Fekri
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2024J. Liu, Ankit Shah et al.
[10]
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2024Ameesh Shah, Cameron Voloshin et al.
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2023Daqian Shao, M. Kwiatkowska
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2023Cameron Voloshin, Abhinav Verma et al.
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2021Ofir Press, Noah A. Smith et al.
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Founder's Pitch

"A novel RL framework using LTL for task generalization, targeting zero-shot task execution in multi-task environments."

Reinforcement LearningScore: 6View PDF ↗

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7.5

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