AlphaStar是RL处理复杂决策问题的又一大新闻了。从War3到SC2,RTS一直是我的业余最爱,最近读了一下paper,也share一下里面使用的一些比较有趣的技术。@田渊栋 老师和 @张楚珩。 0.1 TL;DR 如果让我总结AlphaStar中成功的关键的话,我觉得有以下几点: 专家数据充分地用在了强化学习的各个过程中,有效降低了问题的复杂...
从War3到SC2, RTS一直是我的业余最爱,最近读了一下paper,也share一下里面使用的一些比较有趣的技术。 @田渊栋 老师和 @张楚珩 师兄之前也在知乎贴了关于AlphaStar的看法,这里也贴一下传送门: 田渊栋:关于AlphaStar557 赞同 · 21 评论文章 张楚珩:【强化学习 99】AlphaStar193 赞同 · 25 评论文章 (拖了有点...
随着未来战争日趋复杂,人工智能突飞猛进,指挥与控制向智能化发展成为大势所趋.DeepMind团队在Nature发表AlphaStar在游戏对抗领域取得了显著成就,本文考虑其思路和方法有很多地方值得智能化作战推演进行借鉴.AlphaStar在RTS对抗领域战胜人类顶尖水平选手,其采用的方法也有一定的参考价值.简要介绍了二者采用的方法,并开展了方法适...
AlphaStar is a reinforcement learning agent for tackling the game of Starcraft II. It learns a policy $\pi_{\theta}\left(a_{t}\mid{s_{t}}, z\right) = P\left[a_{t}\mid{s_{t}}, z\right]$ using a neural network for parameters $\theta$ that receives observations $s_{t} = ...
Earlier this year, its AlphaStar defeated teamwork," DeepMind's researchers wrote in a paper published over humans in one-on-one turn-based games such as chess ever since IBM's Deep Blue beat Russian chess master Garry However, successfully using teamwork to win in multi-player For this ...
“TLO” Wünsch in a series of 10 matches, but a paper today published in the journalNaturedescribes a more impressive feat: Further training boosted AlphaStar’s ranking above 99.8% of all active players and earned it the level of GrandMaster — a spot among the top 200 regional players ...
According to the paper, AlphaStar had the 1026 possible actions available at each time step, thus it had to make thousands of actions before learning if it has won or lost the game. One of the key strategies behind AlphaStar’s performance was learning human strategies. Th...
[3] https://papers.nips.cc/paper/5866-pointer-networks.pdf [4] https://www.cs.ox.ac.uk/people/shimon.whiteson/pubs/foersteraaai18.pdf [5] https://arxiv.org/pdf/1802.01561.pdf [6] https://arxiv.org/abs/1602.01783 [7] https://arxiv.org/pdf/1511.06295.pdf...
摘要: 北京时间1月25日凌晨,谷歌旗下人工智能团队DeepMind公布了其开发的AI"AlphaStar"与《星际争霸2》职业选手TLO和MaNa的比赛录像.AlphaStar与两人的比赛相隔约半个月,以两场"5:0"取得完胜. 查看全部>>收藏 报错 分享 全部来源 求助全文 万方 研究点推荐 星际争霸2 站内活动 ...
According to the paper, AlphaStar had the 1026 possible actions available at each time step, thus it had to make thousands of actions before learning if it has won or lost the game. One of the key strategies behind AlphaStar’s performance was learning human strategies. Th...