# Multi-turn conversations using TED Policy

**URL:** <https://forum.rasa.com/t/multi-turn-conversations-using-ted-policy/27955>\
**Category:** Rasa Open Source\
**Created:** [April 23, 2020, 7:36pm UTC](https://forum.rasa.com/t/multi-turn-conversations-using-ted-policy/27955 "2020-04-23T19:36:51Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![saugat](https://avatars.discourse-cdn.com/v4/letter/s/46a35a/32.png) [@saugat](https://forum.rasa.com/u/saugat)\
**Post date:** [April 26, 2020, 2:53pm UTC](https://forum.rasa.com/t/multi-turn-conversations-using-ted-policy/27955/3 "2020-04-26T14:53:06Z")

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Hi Greg.

Thanks for your reply. It would have been great if Rasa team would build a sample bot demonstrating the strength of TED Policy handling these kind of non-linearity and multi-turns.

Writing stories to cover all the possible paths is pretty tiresome. And hey, where is the use of machine learning if it can’t handle these scenarios.

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