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Apr 2026
CRAFTER: Causality-based Self-Adaptation for Autonomous IoT Systems
This paper presents CRAFTER, an automated framework for designing and deploying self-adaptive IoT systems using Causal Reinforcement Learning (CRL), and demonstrates how CRAFTER improves self-adaptation performance by 25% compared to state-of-the-art Reinforcement Learning-based approaches.
Houssam Hajj Hassan, A. Kattepur, Denis Conan et al.
· SEAMS@ICSE · 0 citations