Deep Reinforcement Learning Variants ofMulti-Agent Learning Algorithms
这是一个80页的论文，有效内容70页，10页reference。 本篇论文主要介绍了两个算法，这篇论文写自2016年，也就是DQN发表一年后，所以这一年结合深度网络写rl的文章很多。 下面我们就介绍一下本篇论文。我会摘取一些有用没用的大家都知道的以前的知识做铺垫。 这篇文章主要讲述了两种算法，DRUQN（deep repeated update Q-network ）和DLCQN（Deep loo
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相关文章
- 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. (转) 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