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Profile
Laurent Pagnier
Assistant Research Professor, Mathematics
Mathematics
Full Page
Overview
Research
More
Collaboration
(1)
Michael Chertkov
Mutual work: 2 Proposals﹒1 Grant
Collaboration Details
Grants
(1)
Reinforcement Learning for Particle Accelerators
Active
·
2023
·
$0 / $215.4K
·
External
Key Personnel (KP)
reinforcement learning,
particle accelerators,
machine learning,
control systems,
physics
Publications
(28)
Recent
Nontrivial Kron Reduction for Power Grid Dynamics Modeling
2024
modeling,
power systems,
complex networks
Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence
2024
reinforcement learning,
swimming,
turbulence,
physics-informed
Focus on Monitoring and Control of Complex Supply Systems
2024
supply chain,
system dynamics,
operations management,
logistics,
quality management
Reinforcement learning optimizes power dispatch in decentralized power grid
2024
reinforcement learning,
optimization,
energy management
Swimming in Turbulent Environments with Physics Informed Reinforcement Learning
2023
swimming,
reinforcement learning,
turbulent environments,
physics,
learning
Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
2023
machine learning,
electricity markets,
physics-informed modeling,
energy systems
Differentiable Simulator For Dynamic Stochastic Optimal Gas Power Flows
2023
power systems,
stochastic processes,
dynamic simulation,
optimization,
gas networks
System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel
2023
emergency response,
policy development,
energy management,
crisis management
Control of line pack in natural gas system: Balancing limited resources under uncertainty
2023
natural gas,
resource management,
uncertainty,
control system,
balancing
Toward model reduction for power system transients with physics-informed PDE
2022
power systems,
model reduction,
transients,
physics-informed,
pde
