Collaborated with:
Takahisa Imagawa Yusaku Mandai Shanchuan Wan Yuji Kanagawa Shogo Takeuchi K.Yamaguchi
Talks about:
tree (4) evalu (3) search (2) carlo (2) mont (2) increment (1) algorithm (1) reinforc (1) function (1) challeng (1)
Person: Tomoyuki Kaneko
DBLP: Kaneko:Tomoyuki
Contributed to:
Wrote 5 papers:
- CIG-2008-TakeuchiKY #evaluation #monte carlo
- Evaluation of Monte Carlo tree search and the application to Go (ST, TK, KY), pp. 191–198.
- CIG-2015-ImagawaK #algorithm #game studies #monte carlo
- Enhancements in Monte Carlo tree search algorithms for biased game trees (TI, TK), pp. 43–50.
- CIG-2016-MandaiK #evaluation #incremental
- Improved LinUCT and its evaluation on incremental random-feature tree (YM, TK), pp. 1–8.
- CIG-2018-WanK #evaluation #network
- Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks (SW, TK), pp. 1–8.
- CoG-2019-KanagawaK #challenge #learning #named
- Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning (YK, TK), pp. 1–8.