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[Online; accessed 19-July-2016]."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2483977.2483991"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics. 627--635","author":"Ross St\u00e9phane","year":"2011","unstructured":"St\u00e9phane Ross , Geoffrey Gordon , and Drew Bagnell . 2011 . A reduction of imitation learning and structured prediction to no-regret online learning . In Proceedings of the fourteenth international conference on artificial intelligence and statistics. 627--635 . St\u00e9phane Ross, Geoffrey Gordon, and Drew Bagnell. 2011. A reduction of imitation learning and structured prediction to no-regret online learning. 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