Aaron Sonabend W.'s research works

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Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Preprint

Jun 2020

Offline Reinforcement Learning (RL) is a promising approach for learning optimal policies in environments where direct exploration is expensive or unfeasible. However, the adoption of such policies in practice is often challenging, as they are hard to interpret within the application context, and lack measures of uncertainty for the learned policy...

Fig 1. Workflow to compute survey-level embedding matrix. The example...

Fig 2. t-Distributed Stochastic Neighbor Embedding is used for...

Fig 3. Single survey rank correlation heatmap: We calculate the rank...

Fig 4. RDoC score rank correlation heatmap: We calculate the rank...

Integrating questionnaire measures for transdiagnostic psychiatric phenotyping using word2vec

Article

Full-text available

Apr 2020

Background Recent initiatives in psychiatry emphasize the utility of characterizing psychiatric symptoms in a multidimensional manner. However, strategies for applying standard self-report scales for multiaxial assessment have not been well-studied, particularly where the aim is to support both categorical and dimensional phenotypes. Methods We pr...