Dikshant Shehmar

Laplacian Representations for Decision-Time Planning

Planning with a learned model remains a key challenge in model-based reinforcement learning~(RL). In decision-time planning, state representations are critical as they must support local cost computation while preserving long-horizon structure. In this paper, we show that the Laplacian representatio…