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6.S890 | Fall 2024 | Graduate

# Topics in Multiagent Learning

In addition to the PDF versions of the lecture notes below, the notes are available in an HTML version on the instructor’s website. Select lectures have slides in place of, or in addition to, the lecture notes. Note: Lectures 12 and 13 were guest lectures and are unavailable.

Lecture 1: Topics in Multiagent Learning Slides (PDF)

Lecture 2: Setting and Equilibria: The Nash Equilibrium (PDF) | (HTML)

Lecture 3: Setting and Equilibria: The Correlated Equilibrium (PDF) | (HTML)

Lecture 4: Learning in Games: Foundations (PDF) | (HTML)

Lecture 5: Learning in Games: Algorithms, Part I (PDF) | (HTML)

Lecture 6: Learning in Games: Algorithms, Part II (PDF) | (HTML)

Lecture 7: Learning in Games: Bandit Feedback (PDF) | (HTML)

Lecture 8: Learning in Games: Φ-regret Minimization (PDF) | (HTML)

Lecture 9: Foundations of Extensive-Form Games (PDF) | Lecture Slides (PDF) | (HTML)

Lecture 10: Learning in Extensive-Form Games (PDF) | (HTML)

Lecture 11: Sequential Irrationality and Perfect Equilibria (PDF) | Lecture Slides (PDF) | (HTML)

Lecture 14: Combinatorial Games and Kernelized MWU (PDF) | (HTML)

Lecture 15: Computation of Exact Equilibria (PDF) | (HTML)

Lecture 16: Markov (a.k.a. Stochastic) Games (PDF) | (HTML)

Lecture 17: PPAD-Completeness of Nash Equilibria, Part I (PDF) | (HTML)

Lecture 18: PPAD-Completeness of Nash Equilibria, Part II (PDF) | (HTML)

## Course Info

##### Instructor

- Prof. Gabriele Farina

##### Departments

- Electrical Engineering and Computer Science

##### As Taught In

Fall 2024

##### Level

Graduate

##### Topics

- Engineering
  - Computer Science
    - Artificial Intelligence

##### Learning Resource Types

notes Lecture Notes
assignment_turned_in Problem Set Solutions
assignment Problem Sets
group_work Projects
auto_stories Readings

Browse Resources

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