Thank you for using RecSim and sorry for the bug in the chocolate/kale example. The following is the correct version of generate_response(). As you can see we mess up kale_mean and choc_mean here but the code in https://github.com/google-research/recsim/blob/master/recsim/environments/long_term_satisfaction.py is correct.

def generate_response(self, doc, response):
response.clicked = True

linear interpolation between choc and kale.

engagement_loc = (doc.kaleness * self._user_state.kale_mean
+ (1 - doc.kaleness) * self._user_state.choc_mean)
engagement_loc *= self._user_state.satisfaction
engagement_scale = (doc.kaleness * self._user_state.kale_stddev
+ ((1 - doc.kaleness)
* self._user_state.choc_stddev))
log_engagement = np.random.normal(loc=engagement_loc,
scale=engagement_scale)
response.engagement = np.exp(log_engagement)

We will update the repository shortly. Let me know if you still have questions.

from recsim.

No, that's it. Thanks for your response!

from recsim.