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pro vyhledávání: '"Liu, Anthony Z."'
Autor:
Liu, Anthony Z., Wang, Xinhe, Sansom, Jacob, Fu, Yao, Choi, Jongwook, Sohn, Sungryull, Kim, Jaekyeom, Lee, Honglak
Large Language Models (LLMs) demonstrate strong abilities in common-sense reasoning and interactive decision-making, but often struggle with complex, long-horizon planning tasks. Recent techniques have sought to structure LLM outputs using control fl
Externí odkaz:
http://arxiv.org/abs/2411.13826
Planning is an important capability of artificial agents that perform long-horizon tasks in real-world environments. In this work, we explore the use of pre-trained language models (PLMs) to reason about plan sequences from text instructions in embod
Externí odkaz:
http://arxiv.org/abs/2303.09031
Real world tasks are hierarchical and compositional. Tasks can be composed of multiple subtasks (or sub-goals) that are dependent on each other. These subtasks are defined in terms of entities (e.g., "apple", "pear") that can be recombined to form ne
Externí odkaz:
http://arxiv.org/abs/2203.15034