7 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 7 cited
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Interest in reinforcement learning (RL) has recently surged due to the application of deep learning techniques, but these connectionist approaches are opaque compared with symbolic…
cs.LG2023★ 7 cited
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Reinforcement learning (RL) is experiencing a resurgence in research interest, where Learning Classifier Systems (LCSs) have been applied for many years. However, traditional Michi…
cs.LG2020★ 6 cited
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning
Jordan T. Bishop, Marcus Gallagher
Learning classifier systems (LCSs) are population-based predictive systems that were originally envisioned as agents to act in reinforcement learning (RL) environments. These syste…