Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome

While standard classification methods are not appropriate, we use both a probabilistic and an instance-based approach to characterize the set of information objects

We also made some mixed reality game [15] coupling such digital learning games with “in real life”, concrete interactions around a multi-touch interactive table (see Fig. 7)

On further optimization perspectives and offline model selection As mentioned in Section 3, our use of the proximal point algorithm differs from approaches that enhance policies to

For instance, in order to estimate the counterfactual performance of the ad placement system, we can easily use a predictor that runs the ad auction and simulate the user clicks using

We have used such counterfactual explanations with pre- dictive AI systems trained on two data sets: UCI German Credit 1 – assessing credit risks based on applicant’s personal

The re- sults obtained on the Cart Pole Balancing problem suggest that the inertia of a dynamic system might impact badly the context quality, hence the learning performance. Tak-

Three experiments were carried out to both explore the natural incline and decline of agents colliding into each other throughout a simulation, and find ways in which it can be

An ad- ditional limitation of D I V A is that the value function V is learned from a set of trajectories obtained from a ”naive” controller, which does not necessarily reflect