Exploiting Best-Match Equations for Efficient Reinforcement Learning

By Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering. 2011

18 citations recorded by the source corpus.

Subfields: Reinforcement Learning

How researchers see this paper

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In Reinforcement Learning

1. Yuxi Li

Citations in the corpus

• A Deeper Look at Planning as Learning from Replay (2015, unknown): “The replay strategy described in Section 3.1 has been previously mentioned in the context of best-match learning (van Seijen et al., 2011).”
• Deep Reinforcement Learning (2018, background): “Similarly, van Seijen et al. (2011) train a sparse model with some environment samples that can be used to refine a model-free Q-function.”