A comparison of direct and model-based reinforcement learning

Christopher G. Atkeson, J.C. Santamaría · 2002

This paper compares direct reinforcement learning (no explicit model) and model-based reinforcement learning on a simple task: pendulum swing up. We find that in this task model-based approaches support reinforcement learning from smaller amounts of training data and efficient handling of changing goals.

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