Reinforcement Learning: Model-free control
On-policy Monte-Carlo Control On-Policy Temporal-Difference Learning Off-Policy Learning 使用Monte-Carlo對off-policy進行更新 使用TD對off-policy進行更新 使用Q-learning進行off-policy的更新 上一節講到的是對未知MDP的value function進行估計，這
相關文章
- 1. [Reinforcement Learning] Model-Free Control
- 2. Continuous control with Deep Reinforcement Learning
- 3. 解讀continuous control with deep reinforcement learning（DDPG）
- 4. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 5. 增強學習（Reinforcement Learning and Control）
- 6. Reinforcement Learning（一）：introduction
- 7. Deep Reinforcement Learning
- 8. Machine Learning(8): Reinforcement learning
- 9. Reinforcement learning and Deep learning
- 10. Reinforcement Learning: value function approximation
- 更多相關文章...
- • ASP.NET HtmlSelect Control - ASP.NET 教程
- • XQuery 添加元素 和屬性 - XQuery 教程
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
- • Java Agent入門實戰（三）-JVM Attach原理與使用
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [Reinforcement Learning] Model-Free Control
- 2. Continuous control with Deep Reinforcement Learning
- 3. 解讀continuous control with deep reinforcement learning（DDPG）
- 4. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 5. 增強學習（Reinforcement Learning and Control）
- 6. Reinforcement Learning（一）：introduction
- 7. Deep Reinforcement Learning
- 8. Machine Learning(8): Reinforcement learning
- 9. Reinforcement learning and Deep learning
- 10. Reinforcement Learning: value function approximation