Anapplication of decision rules in reinforcement learning

• Autorzy: Michalski A.
• Języki publikacji: EN

Abstrakty

EN

In this paper an application of decision rules to function representation in reinforcement learning is described. Rules are generated incrementally by method based on rough set theory from instances recorded in state-action-Q-value memory. Simulation experiment investigating the performance of the system and results achieved are reported.

Słowa kluczowe

EN

decision rules; Q-learning; reinforcement learning; rough set theory

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2000
• Tom: Vol. 29, no 4
• Strony: 989--996
• Opis fizyczny: Bibliogr. 12 poz.,

Twórcy

autor

Michalski A.

• Institute of Computing Science, Poznań University of Technology, Piotrowo 3a, 60-965 Poznań,