Changes

* [[Chao Gao]], [[Siqi Yan]], [[Ryan Hayward]], [[Martin Müller]], ''A transferable neural network for Hex''. [[CG 2018]] » [[Deep Learning]], [[Hex]]* [[François Bonnet]], ''Winning strategies in DarkHex: Hex with hidden stones''. [[CG 2018]]* [[Wei-Yuan Hsu]], [[Chu-Ling Ko]], [[Chu-Hsuan Hsueh]], [[I-Chen Wu]], ''Solving 7,7,5-game and 8,8,5-game''. [[CG 2018]] * [[Nathalie Chetcuti-Sperandio]], [[Fabien Delorme]], [[Sylvain Lagrue]], ''On aggregate and comparison functions for Motus/Lingo playing''. [[CG 2018]]* [[Zhang Song]], [[Hiroyuki Iida]], ''Using single conspiracy number for long term position evaluation''. [[CG 2018]] » [[Conspiracy Numbers]]* [[Hung Guei]], [[Ting-Han Wei]], [[I-Chen Wu]], ''Using 2048-like games as a pedagogical tool for reinforcement learning''. [[CG 2018]] » [[Reinforcement Learning]]* [[Kiminori Matsuzaki]], [[Naoki Kitamura]], ''Do evaluation functions really improve Monte-Carlo tree search?'' [[CG 2018]] » [[Othello]], [[Monte-Carlo Tree Search|MCTS]]* [[Pham Hong Nguyen|Nguyen Hong Pham]], ''A completed implementation for Xiangqi rules''. [[CG 2018]] » [[Chinese Chess|Xiangqi]]* [[Xiali Li]], [[Song Wang]], [[Zhengyu Lv]], [[Yongji Li]], [[Licheng Wu]], ''Strategy research based on chess shapes for Tibetan JIU computer game''. [[CG 2018]]