AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning

1 code implementation • 31 May 2021 • Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan Jepson, Sheila A. McIlraith

We introduce an RL-based framework for learning to accomplish tasks in mobile apps.

OpenAI Gym reinforcement-learning +1

Interpretable Sequence Classification via Discrete Optimization

1 code implementation • 6 Oct 2020 • Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

Our automata-based classifiers are interpretable---supporting explanation, counterfactual reasoning, and human-in-the-loop modification---and have strong empirical performance.

Classification counterfactual +4

Towards the Role of Theory of Mind in Explanation

no code implementations • 6 May 2020 • Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith

Theory of Mind is commonly defined as the ability to attribute mental states (e. g., beliefs, goals) to oneself, and to others.

Attribute

Towards Empathetic Planning

no code implementations • 14 Jun 2019 • Maayan Shvo, Sheila A. McIlraith

Critical to successful human interaction is a capacity for empathy - the ability to understand and share the thoughts and feelings of another.