Challenges for Relational Reinforcement Learning

Share/Save/Bookmark

Otterlo, Martijn van and Kersting, Kristian (2004) Challenges for Relational Reinforcement Learning. In: Workshop on Relational Reinforcement Learning of the International Conference on Machine Learning, ICML '04, 4-8 July 2004, Banff, Alberta, Canada (pp. pp. 74-80).

open access
[img]
Preview
PDF
209kB
Abstract:We present a perspective and challenges for Relational Reinforcement Learning (RRL). We first survey existing work and distinguish a number of main directions. We then highlight some research problems that are intrinsically involved in abstracting over relational Markov Decision Processes. These are the challenges of RRL. In addition, we describe a number of issues that will be important for further research into RRL. These are the challenges for RRL and deal with newly arising issues because of relational abstraction.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/64887
Official URL:http://eecs.oregonstate.edu/research/rrl/papers/final/otterlo_kersting_final.pdf
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 221213