【5分钟 Paper】Deep Reinforcement Learning with Double Q-learning
论文题目：Deep Reinforcement Learning with Double Q-learning 所解决的问题？ Q-Learning算法中存在动作值函数过估计(overestimate action values)的问题(因为其更新方程中包含一个maximization动作值函数的一项)，那这样的过估计问题是否会对其算法性能有所影响呢？能不能去避免这样的一种过估计问题呢？ 背景
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相关文章
- 1. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
- 2. 【5分钟 Paper】Playing Atari with Deep Reinforcement Learning
- 3. 【5分钟 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 4. 【5分钟 Paper】Dueling Network Architectures for Deep Reinforcement Learning
- 5. Paper reading: Playing Atari with Deep Reinforcement Learning
- 6. RL论文阅读【四】Deep Reinforcement Learning with Double Q-learning（Double DQN）
- 7. Paper Reading:NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 8. 【强化学习】Deep Reinforcement Learning with Double Q-learning（2015）
- 9. Paper: Continuous Deep Q-Learning with Model-based Acceleration
- 10. Playing atari with deep reinforcement learning