Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning
Shijie Wang,Yi Pan,Zhiqiang Pu,Boyin Liu,Jianqiang Yi,Shijie Wang,Yi Pan,Zhiqiang Pu,Boyin Liu,Jianqiang Yi
Due to the high complexity of a football match, the opponents' strategies are variable and unknown. Thus predicting the opponents' future intentions accurately based on current situation is crucial for football players' decision-making. To better anticipate the opponents and learn more effective strategies, a deconfounded opponent intention inference (DOII) method for football multi-player policy ...
