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cs.AI2025
Causal Deep Q Network
Elouanes Khelifi, Amir Saki, Usef Faghihi
Deep Q Networks (DQN) have shown remarkable success in various reinforcement learning tasks. However, their reliance on associative learning often leads to the acquisition of spuri…
cs.AI2025
Probabilistic Variational Causal Approach in Observational Studies
Usef Faghihi, Amir Saki
In this paper, we introduce a new causal methodology that accounts for the rarity and frequency of events in observational studies based on their relevance to the underlying proble…
cs.AI2024
Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies
Amir Saki, Usef Faghihi
In this paper, we generalize the Pearl and Neyman-Rubin methodologies in causal inference by introducing a generalized approach that incorporates fuzzy logic. Indeed, we introduce…