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5 times of distance to the polyline (−1, −1), (−1, 1), (1, 1)

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cs.LG 1

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2025 1

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Policy-Based Trajectory Clustering in Offline Reinforcement Learning

cs.LG · 2025-06-10 · conditional · novelty 6.0

Proposes Policy-Guided K-means and Centroid-Attracted Autoencoder for clustering offline RL trajectories by their generating policy, with a finite-step convergence result and an NP-completeness connection to graph coloring.

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  • Policy-Based Trajectory Clustering in Offline Reinforcement Learning cs.LG · 2025-06-10 · conditional · none · ref 12

    Proposes Policy-Guided K-means and Centroid-Attracted Autoencoder for clustering offline RL trajectories by their generating policy, with a finite-step convergence result and an NP-completeness connection to graph coloring.