{"action":"created","issue":{"url":"https://api.github.com/repos/gcp/leela-zero/issues/1673","repository_url":"https://api.github.com/repos/gcp/leela-zero","labels_url":"https://api.github.com/repos/gcp/leela-zero/issues/1673/labels{/name}","comments_url":"https://api.github.com/repos/gcp/leela-zero/issues/1673/comments","events_url":"https://api.github.com/repos/gcp/leela-zero/issues/1673/events","html_url":"https://github.com/gcp/leela-zero/issues/1673","id":345666299,"node_id":"MDU6SXNzdWUzNDU2NjYyOTk=","number":1673,"title":"Tian Yuandong: Summary of the ELF World Artificial Intelligence Competition","user":{"login":"l1t1","id":23301704,"node_id":"MDQ6VXNlcjIzMzAxNzA0","avatar_url":"https://avatars1.githubusercontent.com/u/23301704?v=4","gravatar_id":"","url":"https://api.github.com/users/l1t1","html_url":"https://github.com/l1t1","followers_url":"https://api.github.com/users/l1t1/followers","following_url":"https://api.github.com/users/l1t1/following{/other_user}","gists_url":"https://api.github.com/users/l1t1/gists{/gist_id}","starred_url":"https://api.github.com/users/l1t1/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/l1t1/subscriptions","organizations_url":"https://api.github.com/users/l1t1/orgs","repos_url":"https://api.github.com/users/l1t1/repos","events_url":"https://api.github.com/users/l1t1/events{/privacy}","received_events_url":"https://api.github.com/users/l1t1/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":18,"created_at":"2018-07-30T08:49:43Z","updated_at":"2018-07-31T14:12:27Z","closed_at":null,"author_association":"NONE","body":"https://zhuanlan.zhihu.com/p/40834419\r\n\r\nTian Yuandong\r\n\r\nExcellent answer to topics of artificial intelligence and deep learning\r\n\r\nThis game ELF OpenGo has been using the V100 single card, without adding any computing resources. The neural network model has been slightly improved, but it is still a version of 224x20blocks. This time we were able to enter the semi-finals, and it was unexpected to score 2-3 with the golaxy in the semi-finals. After that, we will open source the version of the neural network, welcome everyone to use.\r\n\r\nIn the preliminaries, because of the 30 seconds per step, the parameters are also a bit problematic, so the chess power will drop a bit and return to normal during the rematch. After the first set against the octopus in the quarter-finals, we fixed the problem that the falling time often times out, and the time limit becomes very accurate (56 seconds per step, the error is tens of milliseconds). However, in the last two rounds of the rematch, **the new code with the problem was changed for the golaxy and AQ, and the parameters were not set correctly, which would lead to weaker chess**. The semi-final against the golaxy changed back to a stable version.\r\n\r\nOverall, this time we insisted on a civilian single card configuration and achieved much higher than expected results, I feel very happy. Our goal has always been to enable the masses to use artificial intelligence to gain convenience in their daily lives, and to serve as scientists, and to contribute to the world. This time, we did a good job.\r\n\r\nThanks to the company and the organizers for their support!\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/gcp/leela-zero/issues/comments/409235378","html_url":"https://github.com/gcp/leela-zero/issues/1673#issuecomment-409235378","issue_url":"https://api.github.com/repos/gcp/leela-zero/issues/1673","id":409235378,"node_id":"MDEyOklzc3VlQ29tbWVudDQwOTIzNTM3OA==","user":{"login":"herazul","id":1439756,"node_id":"MDQ6VXNlcjE0Mzk3NTY=","avatar_url":"https://avatars2.githubusercontent.com/u/1439756?v=4","gravatar_id":"","url":"https://api.github.com/users/herazul","html_url":"https://github.com/herazul","followers_url":"https://api.github.com/users/herazul/followers","following_url":"https://api.github.com/users/herazul/following{/other_user}","gists_url":"https://api.github.com/users/herazul/gists{/gist_id}","starred_url":"https://api.github.com/users/herazul/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/herazul/subscriptions","organizations_url":"https://api.github.com/users/herazul/orgs","repos_url":"https://api.github.com/users/herazul/repos","events_url":"https://api.github.com/users/herazul/events{/privacy}","received_events_url":"https://api.github.com/users/herazul/received_events","type":"User","site_admin":false},"created_at":"2018-07-31T14:12:27Z","updated_at":"2018-07-31T14:12:27Z","author_association":"NONE","body":"@jkiliani Yeah good question, since these elf v1 self play games will be with us for a long time (until 20x256 net catch up at least), would'nt it make sense to make it 3200 visit or more to have very good quality data ? It would maybe be a very good ressources spending investment."}}
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