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COMP_SCI 396: Reasoning and Planning in the Foundation Model Era


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Prerequisites

Permission by instructor

Description

This course will explore the core challenge of reasoning and planning in AI, and how foundation models (such as large language models) build up approaches to problem-solving, decision-making, and automated planning. The course bridges theoretical foundations with cutting-edge applications. Topics include chain-of-thought reasoning for complex problem-solving, agent model (including both digital agent and embodied agent), reasoning under uncertainty, and ethical considerations in automated decision-making. Through a combination of lectures, hands-on laboratories, and project work, students will gain experience in:

  • Understand fundamental principles of reasoning and planning in AI
  • Master agent architectures and their implementation using foundation models
  • Develop practical skills in designing and implementing web and embodied agents
  • Critically evaluate different agent paradigms and their applications
  • Design solutions combining classical planning with modern foundation models
  • This course fulfills the Technical Elective area.

REFERENCE TEXTBOOKS: N/A
REQUIRED TEXTBOOK: N/A

COURSE COORDINATORS: Manling Li

COURSE INSTRUCTOR: Manling Li

COURSE GOALS: