Mohamad Louai Shehab

According to our database, Mohamad Louai Shehab authored at least 2 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning.

Mohamad Louai Shehab, Antoine Aspeel, Nikos Aréchiga, Andrew Best, Necmiye Ozay

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2022

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022