3 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
SupRB: A Supervised Rule-based Learning System for Continuous Problems
Michael Heider, David Pätzel, Jörg Hähner
We propose the SupRB learning system, a new Pittsburgh-style learning classifier system (LCS) for supervised learning on multi-dimensional continuous decision problems. SupRB learn…
XCS Classifier System with Experience Replay
Anthony Stein, Roland Maier, Lukas Rosenbauer +1
XCS constitutes the most deeply investigated classifier system today. It bears strong potentials and comes with inherent capabilities for mastering a variety of different learning…
Bootstrapping a DQN Replay Memory with Synthetic Experiences
Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
An important component of many Deep Reinforcement Learning algorithms is the Experience Replay which serves as a storage mechanism or memory of made experiences. These experiences…