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Commit ce7aca97 authored by Hsien-Chin Lin's avatar Hsien-Chin Lin
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update readme. move the files to correct directory

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## Introduction ## Introduction
Our model is a domain-independent user simulator, which means it is not based on any domain-dependent freatures and the output representation is also domain-independent. Therefore, it can easily adapt to a new domain, without additional feature engineering and model retraining. Our model is a domain-independent user simulator, which means it is not based on any domain-dependent freatures and the output representation is also domain-independent. Therefore, it can easily adapt to a new domain, without additional feature engineering and model retraining.
The code of TUS is in `convlab2/policy/tus` and I also create a rule-based DST of user (`convlab2/dst/rule/multiwoz/dst.py`) based on the rule-based DST in `convlab2/dst/rule/multiwoz/dst.py`. The code of TUS is in `convlab2/policy/tus` and a rule-based DST of user is also created in `convlab2/dst/rule/multiwoz/dst.py` based on the rule-based DST in `convlab2/dst/rule/multiwoz/dst.py`.
## How to run the model ## How to run the model
### Train the user simulator ### Train the user simulator
`python3 convlab2/policy/tus/multiwoz/train.py --user_config convlab2/policy/tus/multiwoz/exp/default.json`
### Train a dialogue policy with TUS ### Train a dialogue policy with TUS
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