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Reinforcement learning struggles to control complex systems in real time. Physics-enhanced RL learns from the environment faster. It's unclear if this holds up outside simulations.
“arXiv:2607.16177v1 Announce Type: new Abstract: Reinforcement learning (RL) has recently emerged as a promising feedback control strategy for nonlinear and complex dynamical systems. However, RL algorithms are sample inefficient and require…”
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Reinforcement Learning, arXiv
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Aug 5, 2026