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physics.comp-ph2025
Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger +1
Reinforcement learning demonstrated immense success in modelling complex physics-driven systems, providing end-to-end trainable solutions by interacting with a simulated or real en…
physics.comp-ph2024★ 1 cited
Efficient Forward-Mode Algorithmic Derivatives of Geant4
Max Aehle, Xuan Tung Nguyen, Mihály Novák +5
We have applied an operator-overloading forward-mode algorithmic differentiation tool to the Monte-Carlo particle simulation toolkit Geant4. Our differentiated version of Geant4 al…