Siddharth Reddy

According to our database, Siddharth Reddy authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning.

Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

IROS, 2023

2022

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

Siddharth Reddy

PhD thesis, 2022

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

Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

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

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Scaled Autonomy: Enabling Human Operators to Control Robot Fleets.

Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Human Objectives by Evaluating Hypothetical Behavior.

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike

Proceedings of the 37th International Conference on Machine Learning, 2020

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 2020

Assisted Perception: Optimizing Observations to Communicate State.

Siddharth Reddy, Sergey Levine, Anca D. Dragan

Proceedings of the 4th Conference on Robot Learning, 2020

2019

SQIL: Imitation Learning via Regularized Behavioral Cloning.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

CoRR, 2019

2018

Shared Autonomy via Deep Reinforcement Learning.

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Robotics: Science and Systems XIV, 2018

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

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Latent Skill Embedding for Personalized Lesson Sequence Recommendation.

Siddharth Reddy, Igor Labutov, Thorsten Joachims

CoRR, 2016

Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation.

Siddharth Reddy, Igor Labutov, Thorsten Joachims

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

A Queueing Network Model for Spaced Repetition.

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016