AINeutralarXiv – CS AI · 10h ago6/10
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StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning
StructRL is a new reinforcement learning framework that recovers dynamic programming structure from distributional learning dynamics without requiring explicit models. The research demonstrates that temporal patterns in return distribution evolution reveal inherent structure in how information propagates through state spaces, enabling more efficient and stable learning.