158 citations · 680 across the 25 of their papers we have counts for
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cs.LG2022★ 1 cited
Making Reinforcement Learning Work on Swimmer
Maël Franceschetti, Coline Lacoux, Ryan Ohouens +2
The SWIMMER environment is a standard benchmark in reinforcement learning (RL). In particular, it is often used in papers comparing or combining RL methods with direct policy searc…
cs.LG2022★ 5 cited
Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey
Olivier Sigaud
Deep neuroevolution and deep Reinforcement Learning have received a lot of attention in the last years. Some works have compared them, highlighting theirs pros and cons, but an eme…