{"action":"created","issue":{"url":"https://api.github.com/repos/rllab/rllab/issues/16","repository_url":"https://api.github.com/repos/rllab/rllab","labels_url":"https://api.github.com/repos/rllab/rllab/issues/16/labels{/name}","comments_url":"https://api.github.com/repos/rllab/rllab/issues/16/comments","events_url":"https://api.github.com/repos/rllab/rllab/issues/16/events","html_url":"https://github.com/rllab/rllab/issues/16","id":160410256,"number":16,"title":"Problem running openai gym environment than the Pendulum","user":{"login":"AliGhadirzadeh","id":11650672,"avatar_url":"https://avatars.githubusercontent.com/u/11650672?v=3","gravatar_id":"","url":"https://api.github.com/users/AliGhadirzadeh","html_url":"https://github.com/AliGhadirzadeh","followers_url":"https://api.github.com/users/AliGhadirzadeh/followers","following_url":"https://api.github.com/users/AliGhadirzadeh/following{/other_user}","gists_url":"https://api.github.com/users/AliGhadirzadeh/gists{/gist_id}","starred_url":"https://api.github.com/users/AliGhadirzadeh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AliGhadirzadeh/subscriptions","organizations_url":"https://api.github.com/users/AliGhadirzadeh/orgs","repos_url":"https://api.github.com/users/AliGhadirzadeh/repos","events_url":"https://api.github.com/users/AliGhadirzadeh/events{/privacy}","received_events_url":"https://api.github.com/users/AliGhadirzadeh/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2016-06-15T12:30:12Z","updated_at":"2016-06-16T03:58:34Z","closed_at":null,"body":"Hi,\r\n\r\nI tested the example provided to use openai gym environments. The default example works fine. But the problem is that when I test it on another environment like \"CartPole-v0\" I get following error message:\r\n\r\nenv = normalize(GymEnv('CartPole-v0'))\r\nFile \"/home/rllab/rllab/rllab/envs/normalized_env.py\", line 23, in __init__\r\n    assert isinstance(env.action_space, Box)\r\nAssertionError\r\n\r\nIt is worth nothing that I can run the scenario using openai gym with no problem. \r\n\r\nThanks in advanced,\r\nAli\r\n"},"comment":{"url":"https://api.github.com/repos/rllab/rllab/issues/comments/226382548","html_url":"https://github.com/rllab/rllab/issues/16#issuecomment-226382548","issue_url":"https://api.github.com/repos/rllab/rllab/issues/16","id":226382548,"user":{"login":"dementrock","id":784063,"avatar_url":"https://avatars.githubusercontent.com/u/784063?v=3","gravatar_id":"","url":"https://api.github.com/users/dementrock","html_url":"https://github.com/dementrock","followers_url":"https://api.github.com/users/dementrock/followers","following_url":"https://api.github.com/users/dementrock/following{/other_user}","gists_url":"https://api.github.com/users/dementrock/gists{/gist_id}","starred_url":"https://api.github.com/users/dementrock/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dementrock/subscriptions","organizations_url":"https://api.github.com/users/dementrock/orgs","repos_url":"https://api.github.com/users/dementrock/repos","events_url":"https://api.github.com/users/dementrock/events{/privacy}","received_events_url":"https://api.github.com/users/dementrock/received_events","type":"User","site_admin":false},"created_at":"2016-06-16T03:58:34Z","updated_at":"2016-06-16T03:58:34Z","body":"@korymath DDPG unfortunately only works with continuous actions, at least in the way it is currently setup. In environments with discrete actions, DQN might be a better choice. rllab unfortunately doesn't have an implementation of DQN at the moment due to its emphasis on continuous control, but there seems to be some other implementations available e.g. https://github.com/sherjilozair/dqn"}}
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