On the Modeling Capabilities of Large Language Models for Sequential
Decision Making
On the Modeling Capabilities of Large Language Models for Sequential
Decision Making
Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains. …