References
References
- References
- Abbeel: Inverse RL slides
- Barto: Recent Advances in Hierarchical Reinforcement Learning
- Scholarpedia on Policy Gradient Methods
- Sutton and Barto: Reinforcement Learning: An Introduction
- TU Darmstadt Slides
- Udacity Course Reinforcement Learning
- Wikipedia Markov Decision Process
Abbeel: Inverse RL slides
Lecture slides on Inverse Reinforcement Learning. Contains also very good examples for applications.
Barto: Recent Advances in Hierarchical Reinforcement Learning
Very detailed overview on all that was covered regarding HRL.
Scholarpedia on Policy Gradient Methods
All the concepts of PG are well explained and the pseudo-code is ease to understand.
Sutton and Barto: Reinforcement Learning: An Introduction
One of the most popular textbooks on the subject. Is nice to read and explains the basic concepts. Is freely available online.
TU Darmstadt Slides
Special Focus on Natural Policy Gradient
Udacity Course Reinforcement Learning
A very good MOOC on the topic that is unfortunately not invoking the latest research as our lecture does. But it has a very good didactic concept and nice instructors.
Wikipedia Markov Decision Process
Really good article in the best encyclopaedia