{"action":"created","issue":{"url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/7","repository_url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course","labels_url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/7/labels{/name}","comments_url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/7/comments","events_url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/7/events","html_url":"https://github.com/simoninithomas/Deep_reinforcement_learning_Course/issues/7","id":348450391,"node_id":"MDU6SXNzdWUzNDg0NTAzOTE=","number":7,"title":"numerical stability of preprocessing function","user":{"login":"Theophylline","id":19714287,"node_id":"MDQ6VXNlcjE5NzE0Mjg3","avatar_url":"https://avatars2.githubusercontent.com/u/19714287?v=4","gravatar_id":"","url":"https://api.github.com/users/Theophylline","html_url":"https://github.com/Theophylline","followers_url":"https://api.github.com/users/Theophylline/followers","following_url":"https://api.github.com/users/Theophylline/following{/other_user}","gists_url":"https://api.github.com/users/Theophylline/gists{/gist_id}","starred_url":"https://api.github.com/users/Theophylline/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Theophylline/subscriptions","organizations_url":"https://api.github.com/users/Theophylline/orgs","repos_url":"https://api.github.com/users/Theophylline/repos","events_url":"https://api.github.com/users/Theophylline/events{/privacy}","received_events_url":"https://api.github.com/users/Theophylline/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-07T19:09:58Z","updated_at":"2018-08-07T19:27:37Z","closed_at":"2018-08-07T19:27:37Z","author_association":"NONE","body":"Hi Simon,\r\n\r\nThank you for your tutorial. Are there any other ways to normalize the discounted reward if there's a good chance that the agent will not receive any reward during the beginning stages of training? \r\n\r\nFor example, (x - x.mean) / x.std will blow up if the agent does not receive any reward in an episode. Thanks for your help."},"comment":{"url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/comments/411173469","html_url":"https://github.com/simoninithomas/Deep_reinforcement_learning_Course/issues/7#issuecomment-411173469","issue_url":"https://api.github.com/repos/simoninithomas/Deep_reinforcement_learning_Course/issues/7","id":411173469,"node_id":"MDEyOklzc3VlQ29tbWVudDQxMTE3MzQ2OQ==","user":{"login":"Theophylline","id":19714287,"node_id":"MDQ6VXNlcjE5NzE0Mjg3","avatar_url":"https://avatars2.githubusercontent.com/u/19714287?v=4","gravatar_id":"","url":"https://api.github.com/users/Theophylline","html_url":"https://github.com/Theophylline","followers_url":"https://api.github.com/users/Theophylline/followers","following_url":"https://api.github.com/users/Theophylline/following{/other_user}","gists_url":"https://api.github.com/users/Theophylline/gists{/gist_id}","starred_url":"https://api.github.com/users/Theophylline/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Theophylline/subscriptions","organizations_url":"https://api.github.com/users/Theophylline/orgs","repos_url":"https://api.github.com/users/Theophylline/repos","events_url":"https://api.github.com/users/Theophylline/events{/privacy}","received_events_url":"https://api.github.com/users/Theophylline/received_events","type":"User","site_admin":false},"created_at":"2018-08-07T19:27:37Z","updated_at":"2018-08-07T19:27:37Z","author_association":"NONE","body":"Solved by adding 1 to the reward from each state. "}}
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