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cs.LG2026
Laplacian Representations for Decision-Time Planning
Dikshant Shehmar, Matthew Schlegel, Matthew E. Taylor +1
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…
cs.LG2025
Operator Learning for Power Systems Simulation
Matthew Schlegel, Matthew E. Taylor, Mostafa Farrokhabadi
Time domain simulation, i.e., modeling the system's evolution over time, is a crucial tool for studying and enhancing power system stability and dynamic performance. However, these…