Bellman goes Relational


Kersting, Kristian and Otterlo, Martijn van and De Raedt, Luc (2004) Bellman goes Relational. In: 21st International Conference on Machine Learning, ICML 2004, 5 July 2004, Banff, Alberta, Canada (pp. pp. 465-472).

open access
Abstract:Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming language to compactly represent Markov decision processes over relational domains. Using ReBel, a novel value iteration algorithm is developed in which abstraction (over states and actions) plays a major role. This framework provides new insights into relational reinforcement learning. Convergence results as well as experiments are presented.
Item Type:Conference or Workshop Item
Copyright:© 2004 ACM
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Official URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 221179