Deep Reinforcement Learning Variants ofMulti-Agent Learning Algorithms
這是一個80頁的論文，有效內容70頁，10頁reference。 本篇論文主要介紹了兩個算法，這篇論文寫自2016年，也就是DQN發表一年後，所以這一年結合深度網絡寫rl的文章很多。 下面我們就介紹一下本篇論文。我會摘取一些有用沒用的大家都知道的以前的知識做鋪墊。 這篇文章主要講述了兩種算法，DRUQN（deep repeated update Q-network ）和DLCQN（Deep loo
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相關文章
- 1. Reinforcement learning and Deep learning
- 2. Deep Reinforcement Learning
- 3. Relational Deep Reinforcement Learning
- 4. Machine Learning Algorithms Study Notes(5)—Reinforcement Learning
- 5. Playing Atari with Deep Reinforcement Learning
- 6. (轉) Deep Reinforcement Learning: Pong from Pixels
- 7. Learning Against Non-Stationary Agents withOpponent Modelling & Deep Reinforcement Learning
- 8. Generating Text with Deep Reinforcement Learning
- 9. Continuous control with Deep Reinforcement Learning
- 10. Deep Reinforcement Learning: Pong from Pixels