Robust decision making for autonomous vehicles at highway on-ramps: a constrained adversarial reinforcement learning approach

HIGHLIGHTS

• who: -Autonomous vehicle and colleagues from the (UNIVERSITY) have published the article: Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach, in the Journal: (JOURNAL)
• what: While a few existing studies have attempted to solve ramp metering tasks considering uncertainties via macroscopic robust traffic flows model , , the work has a couple of differences or advantages compared to these methods. In contrast, the authors focus on approximating the equilibrium solution by alternately optimizing the adversary and protagonist. The protagonist seeks to maximize the expected return while minimizing the nonlinear . . .
  

   

  

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