{"action":"created","issue":{"url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3","repository_url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION","labels_url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3/comments","events_url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3/events","html_url":"https://github.com/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3","id":336155761,"node_id":"MDU6SXNzdWUzMzYxNTU3NjE=","number":3,"title":"May I ask the author, is the code complete?","user":{"login":"BIGKUANG","id":23147851,"node_id":"MDQ6VXNlcjIzMTQ3ODUx","avatar_url":"https://avatars1.githubusercontent.com/u/23147851?v=4","gravatar_id":"","url":"https://api.github.com/users/BIGKUANG","html_url":"https://github.com/BIGKUANG","followers_url":"https://api.github.com/users/BIGKUANG/followers","following_url":"https://api.github.com/users/BIGKUANG/following{/other_user}","gists_url":"https://api.github.com/users/BIGKUANG/gists{/gist_id}","starred_url":"https://api.github.com/users/BIGKUANG/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/BIGKUANG/subscriptions","organizations_url":"https://api.github.com/users/BIGKUANG/orgs","repos_url":"https://api.github.com/users/BIGKUANG/repos","events_url":"https://api.github.com/users/BIGKUANG/events{/privacy}","received_events_url":"https://api.github.com/users/BIGKUANG/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-27T09:48:42Z","updated_at":"2018-06-28T19:32:27Z","closed_at":null,"author_association":"NONE","body":"In the nmt.RL.py , I finde the model of RL_train, but I'm not sure the  integrality of the project. can the auther write some the detial of the core algorithm and some step of the train and decode in document of 'read.md' . i will be thanks very much for yours works!!!!\r\n"},"comment":{"url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/comments/401147749","html_url":"https://github.com/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3#issuecomment-401147749","issue_url":"https://api.github.com/repos/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION/issues/3","id":401147749,"node_id":"MDEyOklzc3VlQ29tbWVudDQwMTE0Nzc0OQ==","user":{"login":"oceanypt","id":30719907,"node_id":"MDQ6VXNlcjMwNzE5OTA3","avatar_url":"https://avatars2.githubusercontent.com/u/30719907?v=4","gravatar_id":"","url":"https://api.github.com/users/oceanypt","html_url":"https://github.com/oceanypt","followers_url":"https://api.github.com/users/oceanypt/followers","following_url":"https://api.github.com/users/oceanypt/following{/other_user}","gists_url":"https://api.github.com/users/oceanypt/gists{/gist_id}","starred_url":"https://api.github.com/users/oceanypt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/oceanypt/subscriptions","organizations_url":"https://api.github.com/users/oceanypt/orgs","repos_url":"https://api.github.com/users/oceanypt/repos","events_url":"https://api.github.com/users/oceanypt/events{/privacy}","received_events_url":"https://api.github.com/users/oceanypt/received_events","type":"User","site_admin":false},"created_at":"2018-06-28T19:32:27Z","updated_at":"2018-06-28T19:32:27Z","author_association":"OWNER","body":"This code is based on the work from https://github.com/pcyin/pytorch_nmt, so currently you can see the descriptions from this link to know more details on how to run the code, input/output data structure, etc. Yes, this code is completed, but completion does not mean this code implements all the algorithms or details from the paper, but the core part of RL is implemented. The code will be continually updated. "}}
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