Stagnation is a known problem in reinforcement learning and similar methods. It's very easy to get stuck at a local maximum. My favorite fun example is https://gym.openai.com/envs/BipedalWalkerHardcore-v2/ where a…
The author is pretty much attacking a strawman he cherry picked. He took one toy example of someone learning ML and used it to attack the newest trend. Instead of taking the time to dive into the topic he's trying to…
Basic programming is quickly becoming antiquated and articles like this, and many of the commenters are stuck in the past. The efficiency of ML is in cost, not overall computation. Throwing machine resources at a…
Stagnation is a known problem in reinforcement learning and similar methods. It's very easy to get stuck at a local maximum. My favorite fun example is https://gym.openai.com/envs/BipedalWalkerHardcore-v2/ where a…
The author is pretty much attacking a strawman he cherry picked. He took one toy example of someone learning ML and used it to attack the newest trend. Instead of taking the time to dive into the topic he's trying to…
Basic programming is quickly becoming antiquated and articles like this, and many of the commenters are stuck in the past. The efficiency of ML is in cost, not overall computation. Throwing machine resources at a…