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Update README.md
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sungjinl committed Jun 1, 2019
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Expand Up @@ -52,7 +52,7 @@ $ python run.py demo.json onenet_rule_rule_template eval
# to train a DQN policy with NLU(OneNet), DST(Rule), NLG(Template) on the MultiWOZ environment
$ python run.py demo.json onenet_rule_dqn_template train

# to use a pretrained policy from above
# to use the policy pretrained above
$ python run.py output/onenet_rule_dqn_template_{timestamp}/onenet_rule_dqn_template_spec.json onenet_rule_dqn_template enjoy@onenet_rule_dqn_template_t0_s0
```

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