Sid Reddy

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sgr [at] berkeley [dot] edu
I'm a fourth-year computer science Ph.D. student at the Berkeley Artificial Intelligence Research Lab, where I have the privilege of being co-advised by Sergey Levine and Anca Dragan. I work on machine learning algorithms for augmenting human control in domains like robotics and education. My research statement contains details.

Publications


Siddharth Reddy, Sergey Levine, Anca D. Dragan, Assisted Perception: Optimizing Observations to Communicate State, Conference on Robot Learning (CoRL), 2020.
[PDF] [arXiv] [Videos] [Code]
Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike, Learning Human Objectives by Evaluating Hypothetical Behavior, International Conference on Machine Learning (ICML), 2020.
[PDF] [arXiv] [Blog] [Videos] [Code]

Siddharth Reddy, Anca D. Dragan, Sergey Levine, SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards, International Conference on Learning Representations (ICLR), 2020.
[PDF] [arXiv] [OpenReview] [Code]

Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan, Scaled Autonomy: Enabling Human Operators to Control Robot Fleets, International Conference on Robotics and Automation (ICRA), 2020.
[PDF] [arXiv]

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior, Neural Information Processing Systems (NeurIPS), 2018.
[PDF] [arXiv] [Videos] [Code]

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

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 (KDD), 2016.
[PDF] [arXiv] [Code]