Zobrazeno 1 - 2
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pro vyhledávání: '"Benfeghoul, Martin"'
Autor:
Fountas, Zafeirios, Benfeghoul, Martin A, Oomerjee, Adnan, Christopoulou, Fenia, Lampouras, Gerasimos, Bou-Ammar, Haitham, Wang, Jun
Large language models (LLMs) have shown remarkable capabilities, but still struggle with processing extensive contexts, limiting their ability to maintain coherence and accuracy over long sequences. In contrast, the human brain excels at organising a
Externí odkaz:
http://arxiv.org/abs/2407.09450
In an unfamiliar setting, a model-based reinforcement learning agent can be limited by the accuracy of its world model. In this work, we present a novel, training-free approach to improving the performance of such agents separately from planning and
Externí odkaz:
http://arxiv.org/abs/2402.15283