Challenges for Relational Reinforcement Learning

Otterlo van, Martijn 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.

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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:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/64887
Official URL:	http://eecs.oregonstate.edu/research/rrl/papers/final/otterlo_kersting_final.pdf
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