Safer model-based reinforcement learning for motion planning in autonomous inland shipping. 01/11/2023 - 31/10/2025

Abstract

Currently, there is much research in the field of autonomous navigation. More recently, reinforcement learning (RL) is showing promising results in that field. A type of RL that shows great potential, called model-based RL has some considerable advantages over its model-free counterpart. Notably, it shows potential for safety improvement. Safety is one of the most important challenges that RL in autonomous navigation currently faces.

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Project type(s)

  • Research Project