A stabilizing reinforcement learning approach for sampled systems with partially unknown models

Lukas Beckenbach, Pavel Osinenko, Stefan Streif

Reinforcement learning is commonly associated with training of reward-maximizing (or cost-minimizing) agents, in other words, controllers. It can be applied in model-free or model-…