Foundation Models in Decision Making: Roles, Challenges, and Opportunities
Artificial Intelligence
Machine Learning
Explainable AI
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About this paper
The paper proposes a framework for understanding the various roles of foundation models in decision making, including conditional generative models, representation learners, and interactive agents. Key takeaways include the use of foundation models for behavioral priors, world modeling, and generalization of knowledge across tasks and environments.