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DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.

Tarik DzanicKetan MittalDohyun KimJiachen YangSocratis PetridesBrendan KeithRobert W. Anderson
Published in: CoRR (2023)
Keyphrases
  • conservation laws
  • multi agent reinforcement learning
  • stochastic systems
  • partial differential equations
  • dynamic environments
  • matrix decomposition
  • multiscale
  • multi agent
  • multi agent systems
  • image denoising