Fast deep reinforcement learning using online adjustments from the past

时间 2020-12-30

标签 DRL文章阅读笔记强化学习繁體版

原文原文链接

Fast deep reinforcement learning using online adjustments from the past 文章出自 DeepMind，其提出了一种能够更加充分利用 Replay buffer 历史经验数据的RL改进算法 ---- Ephemeral Value Adjusments (EVA)。 Contribution: 提出了一种新的算法 — Epheme

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1. (转) Deep Reinforcement Learning: Pong from Pixels
2. Deep Reinforcement Learning: Pong from Pixels
3. Deep Reinforcement Learning
4. LEARNING NOTES FROM DEEP LEARNING
5. Reinforcement Learning, Fast and Slow
6. Playing Atari with Deep Reinforcement Learning
7. Reinforcement learning and Deep learning
8. Relational Deep Reinforcement Learning
9. Language Understanding for TextGames using Deep Reinforcement
10. 【Deep Learning】Fast R-CNN

>>更多相关文章<<