23 著者名表示.
| 発行日 | タイトル |
著者 |
|---|
| 20-Oct-2020 | Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning | Li, Wanxiang; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 20-Dec-2020 | Improving Human Players’ T-Spin Skills in Tetris with Procedural Problem Generation | Oikawa, Taishi; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| Mar-2021 | Analyses of Tabular AlphaZero on NoGo | Hsueh, Chu-Hsuan; Ikeda, Kokolo; Nam, Sang-Gyu; Wu, I-Chen |
| Mar-2021 | Position Control and Production of Various Strategies for Game of Go Using Deep Learning Methods | SHI, YUAN; FAN, TIANWEN; LI, WANXIANG; HSUEH, CHU-HSUAN; IKEDA, KOKOLO |
| 6-Nov-2021 | 人間らしさを考慮したテストプレイヤを用いる迷路の自動生成と難易度評価 | 藤平, 啓汰; 池田, 心; シュエ, ジュウシュエン; Fujihira, Keita; Hsueh, Chu-Hsuan; Ikeda,Kokolo |
| Feb-2022 | Graph Convolutional Networks for Turn-Based Strategy Games | Li, Wanxiang; He, Houkuan; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 1-Aug-2022 | Procedural Maze Generation with Considering Difficulty from Human Players' Perspectives | Fujihira, Keita; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| Sep-2022 | Generation of Game Stages with Quality and Diversity by Reinforcement Learning in Turn-based RPG | Nam, SangGyu; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 20-Sep-2022 | Playing Good-Quality Games with Weak Players by Combining Programs with Different Roles | Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 4-Nov-2022 | 着手予測モデルが予測しづらい局面の考察・分類と確信度を利用した一致率の向上 | 小川, 竜欣; シュエ, ジュウシュエン; 池田, 心; Ogawa, Tatsuyoshi; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 4-Nov-2022 | 格闘ゲーム初心者のための読み合い理解支援システム | 酒見, 真; シュエ, ジュウシュエン; 池田, 心; Sakemi, Makoto; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| Feb-2023 | Improving the Human-Likeness of Game AI’s Moves by Combining Multiple Prediction Models | Ogawa, Tatsuyoshi; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 21-Feb-2023 | Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games | HSUEH, CHU-HSUAN; IKEDA, KOKOLO; WU, I-CHEN; CHEN, JR-CHANG; HSU, TSAN-SHENG |
| 17-Mar-2023 | 人間プレイヤを活躍させる協力型ゲームの味方AI | 板東, 宏和; 池田, 心; Hsueh, Chu-Hsuan; シュエ ジュウシュエン |
| 13-Jan-2024 | Improvement of Move Naturalness for Playing Good-Quality Games with Middle-Level Players | Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 27-Feb-2024 | Can We Infer Move Sequences in Go from Stone Arrangements? | Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 28-Mar-2024 | Factor Analyses on Positive and Negative Evaluations of Games against Go Programs | Kuboki, Kyota; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 19-Jun-2024 | Using Reinforcement Learning to Generate Levels of Super Mario Bros. with Quality and Diversity | Nam, Sang-Gyu; Hsueh, Chu-Hsuan; Rerkjirattikal, Pavinee; Ikeda, Kokolo |
| 11-Jul-2024 | More Human-Like Gameplay by Blending Policies From Supervised and Reinforcement Learning | Ogawa, Tatsuyoshi; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 15-Nov-2024 | 着手確率を用いた人間の勝率予測の改善 | 小川, 竜欣; シュエ, ジュウシュエン; 池田, 心; Ogawa, Tatsuyoshi; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 15-Nov-2024 | 視野による制約を前提としたゲームAIの強化学習 | 勝又, 翼; シュエ, ジュウシュエン; 池田, 心; Katsumata, Tsubasa; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 15-Nov-2024 | 囲碁における人間の着手を模倣するにはKataGoのHumanSLだけで十分か？ | シュエ, ジュウシュエン; 池田, 心; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
| 15-Nov-2024 | ゲームの展開に過度に影響されないプレイヤ強さの推定方法 | 窪木, 響大; シュエ, ジュウシュエン; 池田, 心; Kuboki, Kyota; Hsueh, Chu-Hsuan; Ikeda, Kokolo |
