@papinimat.bsky.social

New preprint on Laplacian representations for reinforcement learning with Tommaso Giorgi, Pierriccardo Olivieri, Keyue Jiang and Laura Toni. We touch on some fundamental aspects of this approach, so I'm particularly eager to discuss our claims. arxiv.org/abs/2603.08558

Impact of Connectivity on Laplacian Representations in Reinforcement Learning

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. Existing p...

arxiv.org