Deepracer Student League - What is happening when model training is "Evaluating"

0

Hello everyone,

I was wondering what is happening during the "Evaluating" phase during training for deepracer student. I see through the simulation video that across evaluation runs, there are still big differences in deepracer performance, so I was wondering if it is comparing different policies that it formed during training. I am using the PPO algorithm. Thanks in advance!

1개 답변
1

Here is documentation regarding the reward graph and how to interpret it.

In AWS DeepRacer, training happens in iterations. Each iteration is collection of <n> episodes, n is 20 by default for PPO, and is configurable and 1 for SAC, and is fixed. At the end of every iteration, latest model is saved as checkpoint for evaluation. Evaluation runs for 5 episodes (called Trials) and evaluation metrics (average completion percentage, average reward value) are saved. The current selection for criteria best model is at the maximum average completion percentage.

Hope this information is helpful for you.

AWS
답변함 2년 전

로그인하지 않았습니다. 로그인해야 답변을 게시할 수 있습니다.

좋은 답변은 질문에 명확하게 답하고 건설적인 피드백을 제공하며 질문자의 전문적인 성장을 장려합니다.

질문 답변하기에 대한 가이드라인

관련 콘텐츠