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researcher

Joel Vasanth

4 papers hereh-index 4102 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing physics.flu-dynShow 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…

physics.flu-dyn2023★ 57 cited

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

Colin Vignon, Jean Rabault, Joel Vasanth +3

Rayleigh-Bénard convection (RBC) is a recurrent phenomenon in several industrial and geoscience flows and a well-studied system from a fundamental fluid-mechanics viewpoint. Howeve…

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