Sid Reddy

About Me

I'm a first-year CS PhD student at the Berkeley AI Research Lab, where I have the privilege of being co-advised by Sergey Levine and Anca Dragan.

Research Activities and Interests

I'm currently exploring the intersection of machine learning and human-robot interaction as a member of the RAIL and InterACT labs. For my undergraduate research, I developed a mathematical framework for spaced repetition that can be used to improve long-term human learning, in collaboration with Thorsten Joachims, Siddhartha Banerjee, and Igor Labutov. Our work on the Leitner Queue Network combines ideas from queueing theory, machine learning, and psychology to optimize review scheduling in flashcard software. I also worked on the Latent Skill Embedding, a probabilistic model of student knowledge and educational content that can be used to recommend personalized lesson sequences in online courses.

Conference Papers

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shared Autonomy via Deep Reinforcement Learning, Robotics: Science and Systems, 2018.
[PDF] [Blog] [Videos] [Code] [BibTeX]

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims, Unbounded Human Learning: Optimal Scheduling for Spaced Repetition, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016.
[PDF] [Pre-print] [Code] [BibTeX]


Siddharth Reddy, Anca D. Dragan, Sergey Levine, Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior, arXiv, 2018.
[PDF] [Videos] [Code] [BibTeX]

Siddharth Reddy, Igor Labutov, Thorsten Joachims, Latent Skill Embedding for Personalized Lesson Sequence Recommendation, arXiv, 2016.
[PDF] [BibTeX]

Google Scholar | BibTeX