A GPU-coupled SPH and multi-agent reinforcement learning platform learns cooperative PTO damping policies that increase simulated wave-energy capture by up to 23.8% over fixed damping.
, author Crespo, A.J.C
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Coupling Smoothed Particle Hydrodynamics with Multi-Agent Deep Reinforcement Learning for Cooperative Control of Point Absorbers
A GPU-coupled SPH and multi-agent reinforcement learning platform learns cooperative PTO damping policies that increase simulated wave-energy capture by up to 23.8% over fixed damping.