When to use parametric models in reinforcement learning?

NeurIPS 2019 Hado van HasseltMatteo HesselJohn Aslanides

We examine the question of when and how parametric models are most useful in reinforcement learning. In particular, we look at commonalities and differences between parametric models and experience replay... (read more)

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