신경망2 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. CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING리뷰 CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING 논문 저자: Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra 논문 링크: arxiv.org/abs/1509.02971 Continuous control with deep reinforcement learning We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-fr.. 2020. 8. 1. 이전 1 다음
