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Found 3 papers, 3 papers with code
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
Learning Classifier Systems (LCSs) are evolutionary machine learning systems that can be categorised as eXplainable AI (XAI) due to their rule-based nature.
Explainable Artificial Intelligence (XAI)
reinforcement-learning
+1
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
Results show the system is able to effectively explore the trade-off between policy performance and complexity, and learn interpretable, high-performing policies that use as few rules as possible.
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning
Learning classifier systems (LCSs) are population-based predictive systems that were originally envisioned as agents to act in reinforcement learning (RL) environments.
