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Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators featured image

Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators

Differential Reinforcement Learning outperforms Multi-objective TD3, Multi-Objective Bayesian Optimization, Multi-objective Genetic Algorithms on highly complex constrained …

rajput-k.
Harnessing the Power of Gradient Based Simulations for Multi-Objective Optimization in Particle Accelerators featured image

Harnessing the Power of Gradient Based Simulations for Multi-Objective Optimization in Particle Accelerators

Invited Talk Talk on applying fast optimization and control with differential reinforcement learning leveraging differential simulations.

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Multi-objective Reinforcement Learning featured image

Multi-objective Reinforcement Learning

Invited Lecture Lecture on Multi-objective Reinforcement Learning as applied to Particle Accelerators at MaLAPA 2025, CERN, Geneva.

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Explainable physics-based constraints on reinforcement learning for accelerator controls featured image

Explainable physics-based constraints on reinforcement learning for accelerator controls

By examining the mathematical form of the learned constraint function, we are able to confirm the agent has learned to use the established physics of each environment. In addition, …

colen-j.