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金子研究室
Showing the original Japanese · View translation
将棋やカタン、人狼などのゲームを舞台に、賢いAIをつくる研究室。
AboutAbout the lab
ゲームで、AIを賢くする。
金子研究室は、
ゲームは、
今では
AIが
Key terms
- 強化学習
- 試行錯誤の
結果と して 得られる 報酬を もとに、 より よい 行動を 少し ずつ身に つけていく 機械学習の 方法 - 棋譜
- 将棋や
囲碁などで、 対局の 指し手を 順番に 記録した もの - モンテカルロ木探索
- ゲームの
先の 局面を、 ランダムな 試し打ちを 繰り返して 評価しながら、 よい 手を 探す方 法
NewsLab news
学部の
学生の 卒業論文が、 一高記念賞を 受賞 修士課程の
学生の 修士論文が、 広域科学専攻奨励賞を 受賞 修了生が、
情報処理学会 山下記念研究賞を 受賞 学生が、
ゲーム プログラミングワークショップ2023で 優秀論文賞などを 受賞
ResearchResearch themes
ゲームは、
*Illustrative imageさまざまなゲームのAI
ゲームの
*Illustrative image強化学習
ゲームに
*Illustrative image探索
多数の
*Illustrative imageコンピュータ将棋
コンピュータ将棋の
MembersFaculty
金子研究室の
- Professor金子 知適Publications ↗
VoicesStudent voices
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The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Go (13×” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- さまざまな
ゲームの AI: “Gen Con - 20030724 - Giant Settlers of Catan Game” Alan De Smet / CC BY 3.0 (cropped) - 強化学習: “Concept of Reinforcement Learning” Tsesea / CC BY-SA 4.0 (cropped)
- 探索: “MCTS Algorithm” Robert Moss / CC BY-SA 4.0 (cropped)
- コンピュータ将棋: “Shogi board pieces and komadai” Oliver Orschiedt / CC BY-SA 3.0 (cropped)
- Related lab (東京大学馬場研究室): “PVC Brainstorming Workshop ( )” BLM Nevada / Public domain (cropped)
- Related lab (福永研究室): “Schachfiguren” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- Related lab (小田隆史研究室): “Relief map uses GSI data - Tama Hills” Peka / CC BY 4.0 (cropped)
- Related lab (金井研究室): “CSIRO ScienceImage 11431 Computer model image of a rogue wave smashing into a semisubmersible platform weighing around 32000 tonnes” division, CSIRO / CC BY 3.0 (cropped)
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