뉴럴네트워크1 SEED RL: SCALABLE AND EFFICIENT DEEP-RL WITH ACCELERATED CENTRAL INFERENCE의 리뷰 SEED RL: SCALABLE AND EFFICIENT DEEP-RL WITH ACCELERATED CENTRAL INFERENCE 논문 저자: Espeholt, Lasse, Raphaël Marinier, Piotr Stanczyk, Ke Wang, and Marcin Michalski. 논문 링크: arxiv.org/abs/1910.06591 SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference We present a modern scalable reinforcement learning agent called SEED (Scalable, Efficient Deep-RL). By effectively utilizing m.. 2020. 8. 2. 이전 1 다음
