most citedWhen to Update Your Model: Constrained Model-based Reinforcement Learning

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 7 cited

When to Update Your Model: Constrained Model-based Reinforcement Learning

Tianying Ji, Yu Luo, Fuchun Sun +3

Designing and analyzing model-based RL (MBRL) algorithms with guaranteed monotonic improvement has been challenging, mainly due to the interdependence between policy optimization a…