Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

By Matteo Tomasetto · Paper · cs.LG

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 a large number of interaction with the environment to synthesize optimal control strate

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