most citedDeep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling

4 citations · 4 across the 1 of their papers we have counts for

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cs.CE2019

Direct shape optimization through deep reinforcement learning

Jonathan Viquerat, Jean Rabault, Alexander Kuhnle +3

Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explo…