【5分钟 Paper】Dueling Network Architectures for Deep Reinforcement Learning
论文题目：Dueling Network Architectures for Deep Reinforcement Learning 所解决的问题？ 主要贡献是提出了一种新的应用于强化学习的神经网络框架。 背景 之前对强化学习的改进主要是集中在对现有的网络结构的改变，像什么引入卷积神经网络，LSTM和Autoencoder这些。而这篇文章是提出了一种新的神经网络结构更好地去适应model-
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相关文章
- 1. 【5分钟 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 2. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
- 3. RL论文阅读【三】Dueling Network Architectures for Deep Reinforcement Learning
- 4. 【5分钟 Paper】Playing Atari with Deep Reinforcement Learning
- 5. 【5分钟 Paper】Deep Reinforcement Learning with Double Q-learning
- 6. 【5分钟 Paper】Deep Recurrent Q-Learning for Partially Observable MDPs
- 7. Deep Reinforcement Learning for Dialogue Generation
- 8. Paper reading: Playing Atari with Deep Reinforcement Learning
- 9. Paper Reading:Wide & Deep Learning for Recommender Systems
- 10. Deep Reinforcement Learning with Iterative Shift for Visual Tracking