Compositional policy learning in stochastic control systems with formal guarantees

Reinforcement learning has shown promising results in learning neural network policies for complicated control tasks. However, the lack of formal guarantees about the behavior of such policies remains an impediment to their deployment. We propose a novel method for learning a composition of neural n...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: ZIKELIC, Dorde, LECHNER, Mathias, Verma, Abhinav, CHATTERJEE, Krishnendu, HENZINGER, Thomas A.
التنسيق: text
اللغة:English
منشور في: Institutional Knowledge at Singapore Management University 2024
الموضوعات:
الوصول للمادة أونلاين:https://ink.library.smu.edu.sg/sis_research/9031
https://ink.library.smu.edu.sg/context/sis_research/article/10034/viewcontent/13726_compositional_policy_learning_.pdf
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