ME-429 / 4 credits

Teacher: Kamgarpour Maryam

Language: English

Summary

Students will be able to formulate a multi-agent decision-making problem as a game and apply relevant mathematical theories and algorithms to analyze the interaction of the agents.

Keywords

game theory, multi-agent decision-making, Nash equilibrium, no-regret learning

Required courses

basics of math logic, proof writing, algebra, analysis, probability and optimization.

Learning Outcomes

By the end of the course, the student must be able to:

• Formulate a multi-agent decision-making problem as a game.
• Analyze the outcome of the game.
• Identify the class of game (sequential, one-shot, cooperative).
• Optimize each agent's decision based on her objective.
• Define various equilibrium concepts.
• Implement algorithms to compute Nash equilibria.
• Predict the outcome of the game.
• Derive an algorithm to learn equilibria.

Transversal skills

• Assess progress against the plan, and adapt the plan as appropriate.
• Communicate effectively, being understood, including across different languages and cultures.
• Give feedback (critique) in an appropriate fashion.
• Evaluate one's own performance in the team, receive and respond appropriately to feedback.
• Keep appropriate documentation for group meetings.
• Set objectives and design an action plan to reach those objectives.

Teaching methods

in-class lecture notes, and slides. the notes will be available on moodle after each class.

Expected student activities

in-class participation and completion of a project, potentially with other members.

Assessment methods

There will be a class project and an exam.

In the programs

• Semester: Spring
• Exam form: During the semester (summer session)
• Subject examined: Multi-agent learning and control
• Lecture: 2 Hour(s) per week x 14 weeks
• Project: 1 Hour(s) per week x 14 weeks
• Semester: Spring
• Exam form: During the semester (summer session)
• Subject examined: Multi-agent learning and control
• Lecture: 2 Hour(s) per week x 14 weeks
• Project: 1 Hour(s) per week x 14 weeks

Reference week

 Mo Tu We Th Fr 8-9 9-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19 19-20 20-21 21-22