2021-05-05 10:13:49 -07:00
|
|
|
---
|
|
|
|
id: 5e8f2f13c4cdbe86b5c72da3
|
2021-07-16 11:03:16 +05:30
|
|
|
title: 使用 Q-Learning 進行強化學習
|
2021-05-05 10:13:49 -07:00
|
|
|
challengeType: 11
|
|
|
|
videoId: Cf7DSU0gVb4
|
2021-10-03 12:24:27 -07:00
|
|
|
bilibiliIds:
|
|
|
|
aid: 463025802
|
|
|
|
bvid: BV1iL411x7L6
|
|
|
|
cid: 409138811
|
2021-05-05 10:13:49 -07:00
|
|
|
dashedName: reinforcement-learning-with-q-learning
|
|
|
|
---
|
|
|
|
|
|
|
|
# --question--
|
|
|
|
|
|
|
|
## --text--
|
|
|
|
|
2021-07-16 11:03:16 +05:30
|
|
|
強化學習的關鍵組成部分是......
|
2021-05-05 10:13:49 -07:00
|
|
|
|
|
|
|
## --answers--
|
|
|
|
|
2021-07-16 11:03:16 +05:30
|
|
|
環境、代表、狀態、反應和獎勵。
|
2021-05-05 10:13:49 -07:00
|
|
|
|
|
|
|
---
|
|
|
|
|
2021-07-16 11:03:16 +05:30
|
|
|
環境、代理、狀態、動作和獎勵。
|
2021-05-05 10:13:49 -07:00
|
|
|
|
|
|
|
---
|
|
|
|
|
2021-07-16 11:03:16 +05:30
|
|
|
環境、代理、狀態、動作和懲罰。
|
2021-05-05 10:13:49 -07:00
|
|
|
|
|
|
|
## --video-solution--
|
|
|
|
|
|
|
|
2
|
|
|
|
|