Search Results for author: Gabriel Hugh Elkaim

Found 2 papers, 2 papers with code

An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

1 code implementation26 Nov 2020 Majid Moghadam, Ali Alizadeh, Engin Tekin, Gabriel Hugh Elkaim

Tactical decision making and strategic motion planning for autonomous highway driving are challenging due to the complication of predicting other road users' behaviors, diversity of environments, and complexity of the traffic interactions.

Decision Making Motion Planning +4

A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning

1 code implementation20 Jun 2019 Majid Moghadam, Gabriel Hugh Elkaim

Tactical decision making is a critical feature for advanced driving systems, that incorporates several challenges such as complexity of the uncertain environment and reliability of the autonomous system.

Autonomous Driving Decision Making +2

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