4 papers · 1 filter
Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
Satchit Chatterji, Erman Acar
Safe reinforcement learning (RL) is crucial for real-world applications, and multi-agent interactions introduce additional safety challenges. While Probabilistic Logic Shields (PLS…
Integrating Fuzzy Logic into Deep Symbolic Regression
Wout Gerdes, Erman Acar
Credit card fraud detection is a critical concern for financial institutions, intensified by the rise of contactless payment technologies. While deep learning models offer high acc…
Differentiable Inductive Logic Programming for Fraud Detection
Boris Wolfson, Erman Acar
Current trends in Machine Learning prefer explainability even when it comes at the cost of performance. Therefore, explainable AI methods are particularly important in the field of…
Interpretability for Time Series Transformers using A Concept Bottleneck Framework
Angela van Sprang, Erman Acar, Willem Zuidema
Mechanistic interpretability focuses on reverse engineering the internal mechanisms learned by neural networks. We extend our focus and propose to mechanistically forward engineer…