Parameter Exploring Policy Gradients and their Implications

Doctoral thesis English OPEN
Sehnke, Frank;
(2013)
  • Publisher: Technische Universität München
  • Subject: Reinforcement Learning, Policy Gradients, Parameter Exploration, Robotics | Reinforcement Learning, Policy Gradients, Parameter Exploration, Robotik | Informatik, Wissen, Systeme
    • ddc: ddc:000

Reinforcement Learning is the most commonly used class of learning algorithms which lets robots or other systems autonomously learn their behaviour. Learning is enabled solely through interaction with the environment. Today’s learning systems are often confront... View more
Share - Bookmark

  • Download from
    MediaTUM via MediaTUM (Doctoral thesis, 2013)
  • Cite this publication