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pro vyhledávání: '"Merler, Matteo"'
In this work we consider Code World Models, world models generated by a Large Language Model (LLM) in the form of Python code for model-based Reinforcement Learning (RL). Calling code instead of LLMs for planning has potential to be more precise, rel
Externí odkaz:
http://arxiv.org/abs/2405.15383
Publikováno v:
ACL Student Research Workshop 2024
State of the art Symbolic Regression (SR) methods currently build specialized models, while the application of Large Language Models (LLMs) remains largely unexplored. In this work, we introduce the first comprehensive framework that utilizes LLMs fo
Externí odkaz:
http://arxiv.org/abs/2404.19094