{"action":"created","issue":{"url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/17","repository_url":"https://api.github.com/repos/Bayesian-Razor/papernotes","labels_url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/17/labels{/name}","comments_url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/17/comments","events_url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/17/events","html_url":"https://github.com/Bayesian-Razor/papernotes/issues/17","id":300955502,"number":17,"title":"Imitation Learning","user":{"login":"ariwaranosai","id":6779237,"avatar_url":"https://avatars0.githubusercontent.com/u/6779237?v=4","gravatar_id":"","url":"https://api.github.com/users/ariwaranosai","html_url":"https://github.com/ariwaranosai","followers_url":"https://api.github.com/users/ariwaranosai/followers","following_url":"https://api.github.com/users/ariwaranosai/following{/other_user}","gists_url":"https://api.github.com/users/ariwaranosai/gists{/gist_id}","starred_url":"https://api.github.com/users/ariwaranosai/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ariwaranosai/subscriptions","organizations_url":"https://api.github.com/users/ariwaranosai/orgs","repos_url":"https://api.github.com/users/ariwaranosai/repos","events_url":"https://api.github.com/users/ariwaranosai/events{/privacy}","received_events_url":"https://api.github.com/users/ariwaranosai/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-28T09:44:28Z","updated_at":"2018-02-28T09:46:12Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"Generative Adversarial Imitation Learning 来一发。"},"comment":{"url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/comments/369184586","html_url":"https://github.com/Bayesian-Razor/papernotes/issues/17#issuecomment-369184586","issue_url":"https://api.github.com/repos/Bayesian-Razor/papernotes/issues/17","id":369184586,"user":{"login":"ariwaranosai","id":6779237,"avatar_url":"https://avatars0.githubusercontent.com/u/6779237?v=4","gravatar_id":"","url":"https://api.github.com/users/ariwaranosai","html_url":"https://github.com/ariwaranosai","followers_url":"https://api.github.com/users/ariwaranosai/followers","following_url":"https://api.github.com/users/ariwaranosai/following{/other_user}","gists_url":"https://api.github.com/users/ariwaranosai/gists{/gist_id}","starred_url":"https://api.github.com/users/ariwaranosai/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ariwaranosai/subscriptions","organizations_url":"https://api.github.com/users/ariwaranosai/orgs","repos_url":"https://api.github.com/users/ariwaranosai/repos","events_url":"https://api.github.com/users/ariwaranosai/events{/privacy}","received_events_url":"https://api.github.com/users/ariwaranosai/received_events","type":"User","site_admin":false},"created_at":"2018-02-28T09:46:12Z","updated_at":"2018-02-28T09:46:12Z","author_association":"CONTRIBUTOR","body":"Guided Cost Learning.\r\nSampling based method for MaxEnt IRL\r\nthat handles unknown dynamics and deep reward functions。"}}
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