we are looking for Teaching Assistants to join the Multi-Agent Reinforcement Learning (MARL) course team for Fall 2026.

1. Homework TAs
Responsibilities
- Assist in designing, reviewing, and grading homework assignments.
- Prepare and review homework solutions.
Requirements
- Successful completion of both Reinforcement Learning and Game Theory courses.

2. Project TAs
Responsibilities
- Guide students throughout their research projects in MARL.
- Select relevant topics, papers, and materials for different project phases.
- Help students read, understand, and discuss research papers.
- Support students in developing and refining research ideas.
Requirements
- Strong interest in research in Multi-Agent Reinforcement Learning.
- Successful completion of an RL course.
- Previous research experience in RL or related areas.
- Familiarity with Game Theory and/or agentic systems.
- Mandatory attendance at course lectures throughout the semester and continuous engagement with the course material.

3. Quiz TAs
Responsibilities
- Design and prepare quizzes based on the course material.
Requirements
- Strong knowledge of Reinforcement Learning and Game Theory.
- Successful completion of an RL course.
- Mandatory attendance at course lectures throughout the semester and continuous engagement with the course material.
If you are interested, please fill out the application form.
If you have any questions, feel free to contact me.

For course updates and announcements, join the course channel.

لینک Quera درس. تمام سررسید ها از طریق Quera و همچنین کانال تلگرام درس اطلاع رسانی خواهند شد:
https://quera.org/course/add_to_course/course/29123/
رمز کلاس:
MARL-Fall2026

دانشجویان کارشناسی که مایل به برداشتن درس MARL در این ترم هستند لطفا این فرم را پر کنند.

سلام وقت بخیر، لینک گروه درس:
https://t.me/+NiZB1CZBFF5mNTc8