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Graduate Student Positions in Reinforcement Learning at Polytechnique Montréal and Mila

We are pleased to announce 1-2 graduate student positions in the algorithmic and theoretical aspects of Reinforcement Learning at the Department of Computer and Software Engineering, Polytechnique Montréal and Mila – Quebec Artificial Intelligence Institute. The deadline is December 1, 2024.

We are pleased to announce 1-2 graduate student positions in the algorithmic and theoretical aspects of Reinforcement Learning at the Department of Computer and Software Engineering of the Polytechnique Montréal and Mila – Quebec Artificial Intelligence Institute. The admitted students will become members of the Adaptive Agents (Adage) Lab as well as Mila. The deadline for application is December 1, 2024.

Why Join Us?

Fundamental Research: My research goal is to understand the computational and statistical mechanisms required to design efficient RL agents that interact with their environment and adaptively improve their long-term performance.

Adage (Adaptive Agents Lab:

The Adage Lab is a diverse, multicultural, and welcoming team of talented and hard-working individuals committed to advancing the foundation of AI. The group of ~25 students who have ever been a member of my team come from 13 different countries of origin. For more information, explore:

Top-Tier Research Environment:

Be part of Mila, a global leader in AI research, with over 150 faculty members and 1,100 student-researchers. Mila offers a bustling environment with weekly talks, reading groups, and events.

Montreal:

Study in one of Canada’s most vibrant cities, known for its multicultural community, year-round festivals, and dynamic art scene. Montreal also offers affordable living and a welcoming environment for students.

Next Steps:

Tags: Graduate student positions, Reinforcement Learning, Department of Computer and Software Engineering, Polytechnique Montreal, Mila – Quebec Artificial Intelligence Institute, Adaptive Agents (Adage) Lab, supervision request, Research Summary, Papers

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