643 citations · 769 across the 9 of their papers we have counts for
Showing 2018Show all
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cs.LG2018★ 39 cited
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing, Theophane Weber, Yori Zwols +4
Learning policies on data synthesized by models can in principle quench the thirst of reinforcement learning algorithms for large amounts of real experience, which is often costly…
stat.ML2018★ 3 cited
Generative Temporal Models with Spatial Memory for Partially Observed Environments
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols +3
In model-based reinforcement learning, generative and temporal models of environments can be leveraged to boost agent performance, either by tuning the agent's representations duri…