Speaker

Fauzi Sholichin

Fauzi Sholichin

Software Engineer (Kotlin) Working Student Seroton Gmbh | AI Student THI, Germany

Munich, Germany

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A Researcher and Software Engineer with startup experience from around the world (Indonesia, Malaysia, Singapore, Canada, and Germany). Currently, a final-semester student at THI Ingolstadt, pursuing a Master's degree in AI for Autonomous Systems. During my studies, I have also been working as a Software Engineer (Kotlin) at Seroton GmbH

Area of Expertise

  • Government, Social Sector & Education
  • Health & Medical
  • Information & Communications Technology

Topics

  • Android Software Development
  • Deep Reinforcement Learning

Reward Design for a Reinforcement Learning Agent in an Android Environment

This conference focuses on introducing AndroidEnv and how to design a reward system for model-free Reinforcement Learning (RL). AndroidEnv is a Python library that exposes an Android device as a Reinforcement Learning environment. Algorithms such as DQN and Q-learning will be presented to demonstrate how rewards influence the agent's understanding in achieving its goal. https://github.com/google-deepmind/android_env

Fauzi Sholichin

Software Engineer (Kotlin) Working Student Seroton Gmbh | AI Student THI, Germany

Munich, Germany

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