S. Reddy

发表

Shared Autonomy via Deep Reinforcement Learning pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2018, Robotics: Science and Systems.

Learning Human Objectives by Evaluating Hypothetical Behavior

Anca D. Dragan, Shane Legg, Jan Leike, 2019, ICML.

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition

Thorsten Joachims, Igor Labutov, Siddharth Reddy, 2016, KDD.

Latent Skill Embedding for Personalized Lesson Sequence Recommendation pdf

Thorsten Joachims, Igor Labutov, Siddharth Reddy, 2016, ArXiv.

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2019, ICLR.

Augmenting Human Control through Machine Learning

Siddharth Reddy, S. Reddy, 2019 .

The logistic re-? ! ? ! ? ! ? ! review !

T. Joachims, S. Reddy, I. Labutov, 2018 .

A Queueing-Theoretic Foundation for Optimal Spaced Repetition

T. Joachims, S. Reddy, I. Labutov, 2016 .

Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning

S. Reddy, 2022 .

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

S. Levine, A. Dragan, S. Reddy, 2022, ArXiv.

X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback

Sergey Levine, Siddharth Reddy, Karunesh Ganguly, 2022, ICLR.

What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning

S. Levine, A. Dragan, S. Reddy, 2018 .

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

S. Levine, A. Dragan, S. Reddy, 2022, NeurIPS.

SQIL: Imitation Learning via Regularized Behavioral Cloning pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2019, ArXiv.

X 2 T : T RAINING AN X-TOT EXT T YPING I NTERFACE WITH O NLINE L EARNING FROM U SER F EEDBACK

S. Reddy, Jensen Gao, 2021 .

Scaled Autonomy: Enabling Human Operators to Control Robot Fleets

S. Levine, A. Dragan, S. Reddy, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Accelerating Human Learning with Deep Reinforcement Learning

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2017 .

Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation

Thorsten Joachims, Igor Labutov, Siddharth Reddy, 2016, L@S.

Learning Representations of Student Knowledge and Educational Content

Thorsten Joachims, Igor Labutov, Siddharth Reddy, 2015 .

Learning Human Objectives by Evaluating Hypothetical Behavior

S. Levine, S. Legg, A. Dragan, 2019, ICML.

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning

S. Levine, A. Dragan, S. Reddy, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Assisted Perception: Optimizing Observations to Communicate State pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2020, CoRL.

Pragmatic Image Compression for Human-in-the-Loop Decision-Making pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2021, NeurIPS.

A Queueing Network Model for Spaced Repetition

Igor Labutov, Siddharth Reddy, Siddhartha Banerjee, 2016, L@S.

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2018, NeurIPS.

Assisted Perception: Optimizing Observations to Communicate State

S. Levine, A. Dragan, S. Reddy, 2020, CoRL.