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20232026
most citedEffective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need

57 citations · 61 across the 4 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

physics.flu-dyn2024

Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection

Joel Vasanth, Jean Rabault, Francisco Alcántara-Ávila +2

Deep reinforcement learning (DRL) has found application in numerous use-cases pertaining to flow control. Multi-agent RL (MARL), a variant of DRL, has shown to be more effective th…

cs.LG2024★ 4 cited

Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality

Joongoo Jeon, Jean Rabault, Joel Vasanth +3

Flow control is key to maximize energy efficiency in a wide range of applications. However, traditional flow-control methods face significant challenges in addressing non-linear sy…