opponent modeling

In opponent modeling, we propose a creative method to use non-linear neural networks to recognize opponent’s strategy and formation, which greatly improve agent’s intelligence and match scores.
在對(duì)手建模中，創(chuàng)造性的提出了用非線性的人工神經(jīng)網(wǎng)絡(luò)來對(duì)對(duì)手的陣型與戰(zhàn)術(shù)做辨識(shí)，這將極大的提高Agent的智能與球隊(duì)的比賽成績。