Impact of Connectivity on Laplacian Representations in Reinforcement Learning
arXiv:2603.08558v2 Announce Type: replace-cross
Abstract: Learning compact state representations in Markov Decision Processes (MDPs) has proven crucial for addressing the curse of dimensionality in large-scale reinforcement learning (RL) problems. Exi…