Sid Reddy

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sgr [at] berkeley [dot] edu

I'm a fifth-year computer science Ph.D. student at the Berkeley Artificial Intelligence Research Lab, where I have the privilege of being co-advised by Anca Dragan and Sergey Levine. I work on machine learning algorithms for assistive human-computer interfaces and AI alignment.

Publications



Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Neural Information Processing Systems (NeurIPS) 2021
Spotlight Presentation (top 3% of 9122 paper submissions)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
[PDF] [OpenReview] [arXiv] [Blog] [Website] [Code]


X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
International Conference on Learning Representations (ICLR) 2021
Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
[PDF] [OpenReview] [Website] [Code]



Assisted Perception: Optimizing Observations to Communicate State
Conference on Robot Learning (CoRL) 2020
Siddharth Reddy, Sergey Levine, Anca D. Dragan
[PDF] [arXiv] [Website] [Code]


Learning Human Objectives by Evaluating Hypothetical Behavior
International Conference on Machine Learning (ICML) 2020
Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike
[PDF] [arXiv] [Blog] [Website] [Code]


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


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


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



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


Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2016
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
[PDF] [arXiv] [Website] [Code]

Workshop Papers



Accelerating Human Learning with Deep Reinforcement Learning
NeurIPS Workshop on Machine Teaching 2017
Siddharth Reddy, Anca D. Dragan, Sergey Levine
[PDF] [Code]


Latent Skill Embedding for Personalized Lesson Sequence Recommendation
ICML Workshop on Machine Learning for Education 2015
Siddharth Reddy, Igor Labutov, Thorsten Joachims
[PDF] [Website] [Code]

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