freeCodeCamp/curriculum/challenges/japanese/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.md

id, title, challengeType, videoId, bilibiliIds, dashedName

id	title	challengeType	videoId	bilibiliIds	dashedName
5e8f2f13c4cdbe86b5c72da5	Q 学習による強化学習: 例	11	RBBSNta234s	aid bvid cid 848073871 BV1uL4y187Eq 409139471	reinforcement-learning-with-q-learning-example

--question--

--text--

次の空欄を埋めて Q 学習の式を完成させてください。

Q[__A__, __B__] = Q[__A__, __B__] + LEARNING_RATE * (reward + GAMMA * np.max(Q[__C__, :]) - Q[__A__, __B__])

--answers--

A: state

B: action

C: next_state

---

A: state

B: action

C: prev_state

---

A: state

B: reaction

C: next_state

--video-solution--

1