我挺喜欢《深入浅出深度强化学习》（Grokking Deep Reinforcement Learning）[0]的。不过里面没讲 transformer。另外，可以去看看 Python 的 gymnasium[1] 库里的月球着陆器环境，这是我学习时最专注的一个，我已经解出来了……
I enjoyed "Grokking Deep Reinforcement Learning"[0]. It doesn't include anything about transformers though. Also, see Python's gymnasium[1] library for a lunar lander environment, it's the one I focused on most while I was learning and I've solved…
赞同+2。我也非常喜欢《Grokking Deep Reinforcement Learning》。O'Reilly 的 Grokking 系列在我这儿是两发两中。顺便给不知道的人提一句，O'Reilly 已经不再直接销售无 DRM 的 PDF 了，但他们仍然通过像 ebooks.com 这样的其他渠道销售无 DRM 的 PDF，而……
Thirded. I also like Grokking Deep Reinforcement Learning a lot. OReilly's Grokking series is 2 for 2 for me. For those who don't know, OReilly stopped selling DRM free PDFs directly, but they still sell DRM free PDFs through other sources like ebooks.com, which…
我很喜欢 Manning 出版的《Grokking Deep Reinforcement Learning》这本书。它的写作风格非常通俗易懂，而且会解释你在其他 RL 教材里会看到的那些数学公式。我建议找一本好书或者其他教学资源，然后……
I enjoyed the book Grokking Deep Reinforcement Learning from Manning. It's written in a very accessible style and explains the mathematical formulas you will see in other RL teaching material. I'd suggest getting a good book or other teaching resource and…
…implementing my own RL algorithms (PPO and SAC). If I had to recommend a curriculum to a friend I would say: (1) Spend a few hours on Spinning Up. (2) If the mathematical notation is intimidating, read Grokking Deep Reinforcement Learning (from Manning), which is slower paced and spends a lot of time explaining the notation itself, rather than just assuming the mathematical notation is self-explanatory as is so often the case. This book…
我也附议这个建议。在读 Sutton 的书之前先读读《Grokking Deep Reinforcement Learning》。嗯，Sutton 那本书是免费的，所以可以先瞅一眼，但如果那些公式把你吓退了，就去读《Grokking Deep Reinforcement Learning》。
I second this suggestion. Read Grokking Deep Reinforcement Learning before reading Sutton. Well, the Sutton book is free, so take a peak, but if the formulas scare you then read Grokking Deep Reinforcement Learning.
米格尔·莫拉莱斯（Miguel Morales）的《Grokking Deep Reinforcement Learning》以及亚历山大·扎伊（Alexander Zai）和布兰登·布朗（Brandon Brown）的《Deep Reinforcement Learning in Action》看起来都挺不错，不过代码可能有点过时了。看起来他们用的是 OpenAI Gym 环境，……
"Grokking Deep Reinforcement Learning" by Miguel Morales and "Deep Reinforcement Learning in Action" by Alexander Zai and Brandon Brown both look promising, though the code might be outdated. Looks like they use the OpenAI Gym environment,…
我挺喜欢《深入浅出深度强化学习》（Grokking Deep Reinforcement Learning）[0]的。不过里面没讲 transformer。另外，可以去看看 Python 的 gymnasium[1] 库里的月球着陆器环境，这是我学习时最专注的一个，我已经解出来了……
I enjoyed "Grokking Deep Reinforcement Learning"[0]. It doesn't include anything about transformers though. Also, see Python's gymnasium[1] library for a lunar lander environment, it's the one I focused on most while I was learning and I've solved…
赞同+2。我也非常喜欢《Grokking Deep Reinforcement Learning》。O'Reilly 的 Grokking 系列在我这儿是两发两中。顺便给不知道的人提一句，O'Reilly 已经不再直接销售无 DRM 的 PDF 了，但他们仍然通过像 ebooks.com 这样的其他渠道销售无 DRM 的 PDF，而……
Thirded. I also like Grokking Deep Reinforcement Learning a lot. OReilly's Grokking series is 2 for 2 for me. For those who don't know, OReilly stopped selling DRM free PDFs directly, but they still sell DRM free PDFs through other sources like ebooks.com, which…
我很喜欢 Manning 出版的《Grokking Deep Reinforcement Learning》这本书。它的写作风格非常通俗易懂，而且会解释你在其他 RL 教材里会看到的那些数学公式。我建议找一本好书或者其他教学资源，然后……
I enjoyed the book Grokking Deep Reinforcement Learning from Manning. It's written in a very accessible style and explains the mathematical formulas you will see in other RL teaching material. I'd suggest getting a good book or other teaching resource and…
……自己实现 RL 算法（PPO 和 SAC）。如果要我给朋友推荐一套学习路径，我会说：(1) 花几个小时看 Spinning Up。(2) 如果数学符号看着头大，就读读 Manning 出版的《Grokking Deep Reinforcement Learning》，它的节奏更慢，花了很多时间来解释符号本身，而不是像很多教材那样默认数学符号都是不言自明的。这本书……
…implementing my own RL algorithms (PPO and SAC). If I had to recommend a curriculum to a friend I would say: (1) Spend a few hours on Spinning Up. (2) If the mathematical notation is intimidating, read Grokking Deep Reinforcement Learning (from Manning), which is slower paced and spends a lot of time explaining the notation itself, rather than just assuming the mathematical notation is self-explanatory as is so often the case. This book…
我也附议这个建议。在读 Sutton 的书之前先读读《Grokking Deep Reinforcement Learning》。嗯，Sutton 那本书是免费的，所以可以先瞅一眼，但如果那些公式把你吓退了，就去读《Grokking Deep Reinforcement Learning》。
I second this suggestion. Read Grokking Deep Reinforcement Learning before reading Sutton. Well, the Sutton book is free, so take a peak, but if the formulas scare you then read Grokking Deep Reinforcement Learning.
米格尔·莫拉莱斯（Miguel Morales）的《Grokking Deep Reinforcement Learning》以及亚历山大·扎伊（Alexander Zai）和布兰登·布朗（Brandon Brown）的《Deep Reinforcement Learning in Action》看起来都挺不错，不过代码可能有点过时了。看起来他们用的是 OpenAI Gym 环境，……
"Grokking Deep Reinforcement Learning" by Miguel Morales and "Deep Reinforcement Learning in Action" by Alexander Zai and Brandon Brown both look promising, though the code might be outdated. Looks like they use the OpenAI Gym environment,…