Outlier-robust Inverse Reinforcement Learning and Reward-based Detection of Anomalous Driving Behaviors. - Dan Li; Mohamad Louai Shehab; Zexiang Liu; Nikos Aréchiga; Jonathan A. DeCastro; Necmiye Ozay (ITSC, 2022)

Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning. - Mohamad Louai Shehab; Antoine Aspeel; Nikos Aréchiga; Andrew Best; Necmiye Ozay (L4DC, 2024)

Learning Reward Machines from Partially Observed Optimal Policies. - Mohamad Louai Shehab; Antoine Aspeel; Necmiye Ozay (CoRR, 2025)

Efficient Reward Identification In Max Entropy Reinforcement Learning with Sparsity and Rank Priors. - Mohamad Louai Shehab; Alperen Tercan; Necmiye Ozay (CoRR, 2025)