Johannes Oetsch

Answer-Set-Programming-Based Abstractions for Reinforcement Learning

2026 · Theory and Practice of Logic Programming

Abstract Reinforcement Learning (RL) enables autonomous agents to learn policies from experience, but realistic problems often involve enormous state spaces, making learning and generalisation challenging. Abstraction and approximation are therefore essential. Relational Reinforcement Learning (RRL) …