Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...
Witness a new era in heritage conservation as engineers blend cutting-edge technology with traditional architecture for sustainable reuse.
Abstract: This article considers an observer-based optimal backstepping security control for nonlinear systems using reinforcement learning (RL) strategy. The main challenge faced is the design of ...
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