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FRFraunhofer-Gesellschaft

Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)

Garching bei München
Full-timeInternshipOn-site
AI/ML
Data Science

Researching MARL for aerial ad hoc networks, focusing on scalability and reliability. Python ML stack and strong RL background required. Workplace at new institute building, participation in dynamic team.

Requirements

  • Python ML stack experience (TensorFlow, Stable-Baselines3)
  • Strong Reinforcement Learning background
  • Familiarity with Multi Agent Systems or Game Theory
  • Linux OS and git familiarity
  • Enrollment in German university (Munich area preferred)
  • Student of M.Sc. Computer science, Robotics, Cognition, Intelligence, Data Engineering etc.

Tasks

  • Contribute to leading-edge research in Multi Agent Reinforcement Learning (MARL)
  • Build upon prior work in MARL for aerial ad hoc networks
  • Advance solutions by integrating state-of-the-art MARL methods
  • Focus on scalability and reliability of MARL solutions
  • Write a master’s thesis under supervision

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • TensorFlow
  • Stable-Baselines3
  • Linux OS
  • git

Benefits

Modern Office

  • Workplace at new institute building

Informal Culture

  • Good atmosphere

Startup Environment

  • Participation in dynamic team

Diverse Work

  • Innovative task areas

Other Benefits

  • Practical approach to studies
  • Diversity promotion
  • Solutions for disabled persons

Purpose-Driven Work

  • Preference for severely disabled persons
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