Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

Ben Opperman, Eduardo Alonso, Esther Mondragón

Symmetries play a central role in reducing the complexity of reinforcement learning problems, yet most existing approaches rely on fixed group actions or predefined state abstracti…