DeepRL

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

DeepRL

Abstract

In this project we are going to train an agent to control the motion of a human musculoskeletal model using deep reinforcement learning.

Requirements

  • Solid background in programming, reading and understanding available code. (Python and knowledge of Java would be a plus)
  • Familiarity with theory of reinforcement learning, linear algebra and machine learning.
  • Familiarity with a deep learning framework. (Preferably PyTorch?)

Contact

Amir Hossein Bayat


ProjectForm
Title: Reinforcement Learning for Biomechanical Modeling
Abstract: In this project we are going to train an agent to control the motion of a human musculoskeletal model using deep reinforcement learning.
Student:  
Director: Bjoern Menze
Supervisor: Amir Hossein Bayat
Type: IDP
Area: Machine Learning, Medical Imaging, Computer Vision
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 13 Dec 2019 - 14:25 - AmirHosseinBayat