AI RESEARCH
Understanding and Improving Hyperbolic Deep Reinforcement Learning
arXiv CS.AI
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ArXi:2512.14202v2 Announce Type: replace-cross The exponential volume growth of hyperbolic geometry can embed the hierarchical relationships between states in reinforcement learning (RL) with far less distortion than Euclidean space. However, hyperbolic deep RL faces severe optimization challenges, and formal analysis of why optimization fails is lacking. We identify key factors that determine the success and failure of