http://openaccess.thecvf.com/content_cvpr_2017/papers/Jie_Deep_Self-Taught_Learning_CVPR_2017_paper.pdf Deep Self-Taught Learning for Weakly ...
Active Object Localization with Deep Reinforcement Learning ICCV 最近Deep Reinforcement Learning算是火了一把,在Google Deep Mind的主页上,更是许多关于此的paper,基本都发在ICML,AAAI,IJCAI等各种人工智能,机器学习的牛会顶刊,甚至是Nature,可以参考其官方publica ...
2016-04-27 13:16 10 4090 推荐指数:
http://openaccess.thecvf.com/content_cvpr_2017/papers/Jie_Deep_Self-Taught_Learning_CVPR_2017_paper.pdf Deep Self-Taught Learning for Weakly ...
Deep Reinforcement Learning with Double Q-learning Google DeepMind Abstract 主流的 Q-learning 算法过高的估计在特定条件下的动作值。实际上,之前是不知道是否这样的过高估计是 common ...
Dueling Network Architectures for Deep Reinforcement Learning ICML 2016 Best Paper 摘要:本文的贡献点主要是在 DQN 网络结构上,将卷积神经网络提出的特征,分为两路走,即:the state ...
Playing Atari with Deep Reinforcement Learning 《Computer Science》, 2013 Abstract: 本文提出了一种深度学习方法,利用强化学习的方法,直接从高维的感知输入中学习控制策略。模型是一个卷积神经网络 ...
Asynchronous Methods for Deep Reinforcement Learning ICML 2016 深度强化学习最近被人发现貌似不太稳定,有人提出很多改善的方法,这些方法有很多共同的 idea:一个 online 的 agent 碰到的观察到的数据 ...
Is object localization for free? –Weakly-supervised learning with convolutional neural networks. Maxime Oquab, Leon Bottou, Ivan Laptev, Josef ...
Hierarchical Object Detection with Deep Reinforcement Learning NIPS 2016 WorkShop Paper : https://arxiv.org/pdf/1611.03718v1.pdf ...
的识别效果。 这篇论文的主要思想是通过学习两个deep network来构建face attrib ...