Siddharth Reddy

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 26

Top Topics

Optimal Scheduling

Mutual Information Maximization

Adjustable Autonomy

Reinforcement Learning

Top Venues

Publications

Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR (2023)
Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS (2023)
Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. CoRR (2022)
Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. ICRA (2022)
Siddharth Reddy, Sergey Levine, Anca D. Dragan
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. NeurIPS (2022)
Siddharth Reddy, Sergey Levine, Anca D. Dragan
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. CoRR (2022)
Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. CoRR (2022)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Pragmatic Image Compression for Human-in-the-Loop Decision-Making. CoRR (2021)
Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. ICLR (2021)
Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike
Learning Human Objectives by Evaluating Hypothetical Behavior. ICML (2020)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards. ICLR (2020)
Siddharth Reddy, Sergey Levine, Anca D. Dragan
Assisted Perception: Optimizing Observations to Communicate State. CoRR (2020)
Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. ICRA (2020)
Siddharth Reddy, Sergey Levine, Anca D. Dragan
Assisted Perception: Optimizing Observations to Communicate State. CoRL (2020)
Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike
Learning Human Objectives by Evaluating Hypothetical Behavior. CoRR (2019)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
SQIL: Imitation Learning via Regularized Behavioral Cloning. CoRR (2019)
Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. CoRR (2019)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. CoRR (2018)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. NeurIPS (2018)
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Shared Autonomy via Deep Reinforcement Learning. Robotics: Science and Systems (2018)
Siddharth Reddy, Sergey Levine, Anca D. Dragan
Shared Autonomy via Deep Reinforcement Learning. CoRR (2018)
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. CoRR (2016)
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee
A Queueing Network Model for Spaced Repetition. L@S (2016)
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. KDD (2016)
Siddharth Reddy, Igor Labutov, Thorsten Joachims
Latent Skill Embedding for Personalized Lesson Sequence Recommendation. CoRR (2016)
Siddharth Reddy, Igor Labutov, Thorsten Joachims
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation. L@S (2016)