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Ahana Ghosh

2 accepted papers

2020

Synthesizing Tasks for Block-based Programming

NeurIPS 2020poster

Block-based visual programming environments play a critical role in introducing computing concepts to K-12 students. One of the key pedagogical challenges in these environments is in designing new practice tasks for a student that match a desired level of difficulty and exercise specific programming…

2019

Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints

NeurIPS 2019poster

Inverse reinforcement learning (IRL) enables an agent to learn complex behavior by observing demonstrations from a (near-)optimal policy. The typical assumption is that the learner's goal is to match the teacher’s demonstrated behavior. In this paper, we consider the setting where the learner has it…

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