most citedSEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference

31 citations · 31 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 31 cited

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference

Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk +2

We present a modern scalable reinforcement learning agent called SEED (Scalable, Efficient Deep-RL). By effectively utilizing modern accelerators, we show that it is not only possi…