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2020 – today
- 2023
[c14]Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS 2023: 7523-7530- [i13]Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR abs/2309.03839 (2023) - 2022
- [b1]Siddharth Reddy:
Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning. University of California, Berkeley, USA, 2022 - [c13]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: 7505-7512 - [c12]Siddharth Reddy, Sergey Levine, Anca D. Dragan:
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. NeurIPS 2022 - [i12]Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. CoRR abs/2202.02465 (2022) - [i11]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. CoRR abs/2203.02072 (2022) - [i10]Siddharth Reddy, Sergey Levine, Anca D. Dragan:
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization. CoRR abs/2205.12381 (2022) - 2021
- [c11]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 - [c10]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Pragmatic Image Compression for Human-in-the-Loop Decision-Making. NeurIPS 2021: 26499-26510 - [i9]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Pragmatic Image Compression for Human-in-the-Loop Decision-Making. CoRR abs/2108.04219 (2021) - 2020
- [c9]Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Assisted Perception: Optimizing Observations to Communicate State. CoRL 2020: 748-764 - [c8]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards. ICLR 2020 - [c7]Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike:
Learning Human Objectives by Evaluating Hypothetical Behavior. ICML 2020: 8020-8029 - [c6]Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. ICRA 2020: 5942-5948 - [i8]Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Assisted Perception: Optimizing Observations to Communicate State. CoRR abs/2008.02840 (2020)
2010 – 2019
- 2019
- [i7]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
SQIL: Imitation Learning via Regularized Behavioral Cloning. CoRR abs/1905.11108 (2019) - [i6]Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. CoRR abs/1910.02910 (2019) - [i5]Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike:
Learning Human Objectives by Evaluating Hypothetical Behavior. CoRR abs/1912.05652 (2019) - 2018
- [c5]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. NeurIPS 2018: 1461-1472 - [c4]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Shared Autonomy via Deep Reinforcement Learning. Robotics: Science and Systems 2018 - [i4]Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Shared Autonomy via Deep Reinforcement Learning. CoRR abs/1802.01744 (2018) - [i3]Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. CoRR abs/1805.08010 (2018) - 2016
- [c3]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims:
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. KDD 2016: 1815-1824 - [c2]Siddharth Reddy, Igor Labutov, Thorsten Joachims:
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation. L@S 2016: 93-96 - [c1]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee:
A Queueing Network Model for Spaced Repetition. L@S 2016: 289-292 - [i2]Siddharth Reddy, Igor Labutov, Thorsten Joachims:
Latent Skill Embedding for Personalized Lesson Sequence Recommendation. CoRR abs/1602.07029 (2016) - [i1]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims:
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. CoRR abs/1602.07032 (2016)
Coauthor Index
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