…应用》（Applications，作者 Richard Szeliski）《计算机视觉深度学习》（Deep Learning for Computer Vision，作者 Adrian Rosebrock）强化学习类：《强化学习导论》（Reinforcement Learning: An Introduction，作者 Richard S. Sutton 与 Andrew G. Barto）《深度强化学习实战》（Deep Reinforcement Learning Hands-On，作者 Maxim Lapan）阶段四：保持知识前沿并积累实践经验 阅读研究论文：订阅你感兴趣领域的 arXiv 邮件列表 定期阅读顶级会议的论文…
…Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning: "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto "Deep Reinforcement Learning Hands-On" by Maxim Lapan Stage 4: Staying Current and Gaining Practical Experience Read research papers: Subscribe to the arXiv mailing list in your areas of interest Regularly read papers from conferences…
…say it depends on your use cases. If you want high level understanding then go with Melanie Mitchell's book. If you want more technical details then d2l.ai or fast.ai are good choices. There's also "Deep Reinforcement Learning Hands-On" by Maxim Lapan. That one is also pretty good but I'm not far enough along to give a review one way or another.
I need to figure out how to turn this into an openAI gym so I can train my DQN on it. I just finished running the code from Deep Reinforcement Learning - Hands on for Pong, and it's pretty cool...
…应用》（Applications，作者 Richard Szeliski）《计算机视觉深度学习》（Deep Learning for Computer Vision，作者 Adrian Rosebrock）强化学习类：《强化学习导论》（Reinforcement Learning: An Introduction，作者 Richard S. Sutton 与 Andrew G. Barto）《深度强化学习实战》（Deep Reinforcement Learning Hands-On，作者 Maxim Lapan）阶段四：保持知识前沿并积累实践经验 阅读研究论文：订阅你感兴趣领域的 arXiv 邮件列表 定期阅读顶级会议的论文…
…Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning: "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto "Deep Reinforcement Learning Hands-On" by Maxim Lapan Stage 4: Staying Current and Gaining Practical Experience Read research papers: Subscribe to the arXiv mailing list in your areas of interest Regularly read papers from conferences…
…说这取决于你的使用场景。如果你想建立高层次的宏观理解，那就看梅拉妮·米歇尔（Melanie Mitchell）的书。如果你想要更多技术细节，d2l.ai 或 fast.ai 都是不错的选择。还有 Maxim Lapan 写的《深度强化学习实战》（Deep Reinforcement Learning Hands-On）。那本也挺好，但我还没读到能下定论给出评价的程度。
…say it depends on your use cases. If you want high level understanding then go with Melanie Mitchell's book. If you want more technical details then d2l.ai or fast.ai are good choices. There's also "Deep Reinforcement Learning Hands-On" by Maxim Lapan. That one is also pretty good but I'm not far enough along to give a review one way or another.
我得琢磨琢磨怎么把它做成一个 OpenAI Gym 环境，好用它来训练我的 DQN。我刚跑完《深度强化学习实战》（Deep Reinforcement Learning Hands-On）里玩 Pong 游戏的代码，简直太酷了……
I need to figure out how to turn this into an openAI gym so I can train my DQN on it. I just finished running the code from Deep Reinforcement Learning - Hands on for Pong, and it's pretty cool...