Collaborated with:T.Harada Ruck Thawonmas Ryota Ishii Makoto Ishihara Chun Yin Chu Yoshina Takano Wenwen Ouyang
Talks about:game (5) fight (4) implement (2) search (2) carlo (2) tree (2) mont (2) have (2) architectur (1) difficulti (1)
Person: Suguru Ito
DBLP: Ito:Suguru
Contributed to:
201620182019Wrote 5 papers:
- CIG-2016-ChuIHT #game studies #learning #video
- Position-based reinforcement learning biased MCTS for General Video Game Playing (CYC, SI, TH, RT), pp. 1–8.
- CIG-2018-IshiharaIIHT #behaviour #game studies #implementation #monte carlo
- Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors (MI, SI, RI, TH, RT), pp. 1–8.
- CIG-2018-IshiiIIHT #game studies #implementation #monte carlo
- Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas (RI, SI, MI, TH, RT), pp. 1–8.
- CIG-2018-TakanoOIHT #architecture #game studies #hybrid
- Applying Hybrid Reward Architecture to a Fighting Game AI (YT, WO, SI, TH, RT), pp. 1–4.
- CoG-2019-IshiiITH #game studies #generative #using
- A Fighting Game AI Using Highlight Cues for Generation of Entertaining Gameplay (RI, SI, RT, TH), pp. 1–6.