AI 导读
人形机器人踢足球需同时处理平衡、控球、碰撞恢复、对手建模、运动与策略,其以每秒50次的频率输出关节角指令,而非从离散动作空间中选取。训练中它进行了数百万场加速虚拟足球赛,累计约140个模拟年,并反复与自身早期策略版本对抗,从能得分的动作中学习。
正文
This is just so tough for robots.
The balance, ball control, collision recovery, opponent modelling, locomotion, and strategy all have to run at once.
here the humanoid is producing joint-angle commands 50 times a second, not choosing from a neat discrete action space.
The training setup is even more interesting, it basically spent 140 simulated years getting cooked by itself.
it played millions of accelerated virtual soccer games, repeatedly competing against saved earlier versions of its own policy and learning from which actions helped it score.
来源:@rohanpaul_ai · x.com