【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
論文題目：Continuous Control With Deep Reinforcement Learning 所解決的問題？ 這篇文章將Deep Q-Learning運用到Deterministic Policy Gradient算法中。如果瞭解DPG的話，那這篇文章就是引入DQN改進了一下DPG的state value function。解決了DQN需要尋找maximizes actio
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- 1. Continuous control with Deep Reinforcement Learning
- 2. 【5分鐘 Paper】Playing Atari with Deep Reinforcement Learning
- 3. 解讀continuous control with deep reinforcement learning（DDPG）
- 4. 【5分鐘 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 5. 【5分鐘 Paper】Deep Reinforcement Learning with Double Q-learning
- 6. 【5分鐘 Paper】Dueling Network Architectures for Deep Reinforcement Learning
- 7. DDPG，CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING 論文閱讀
- 8. Paper: Continuous Deep Q-Learning with Model-based Acceleration
- 9. Paper reading: Playing Atari with Deep Reinforcement Learning
- 10. PR17.10.2:Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
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相關文章
- 1. Continuous control with Deep Reinforcement Learning
- 2. 【5分鐘 Paper】Playing Atari with Deep Reinforcement Learning
- 3. 解讀continuous control with deep reinforcement learning（DDPG）
- 4. 【5分鐘 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 5. 【5分鐘 Paper】Deep Reinforcement Learning with Double Q-learning
- 6. 【5分鐘 Paper】Dueling Network Architectures for Deep Reinforcement Learning
- 7. DDPG，CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING 論文閱讀
- 8. Paper: Continuous Deep Q-Learning with Model-based Acceleration
- 9. Paper reading: Playing Atari with Deep Reinforcement Learning
- 10. PR17.10.2:Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control