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09/07/2023
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning
Adaptive interfaces can help users perform sequential decision-making ta...
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05/24/2022
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
How can we train an assistive human-machine interface (e.g., an electrom...
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03/04/2022
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
We aim to help users communicate their intent to machines using flexible...
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02/05/2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
Building assistive interfaces for controlling robots through arbitrary, ...
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07/07/2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Standard lossy image compression algorithms aim to preserve an image's a...
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08/06/2020
Assisted Perception: Optimizing Observations to Communicate State
We aim to help users estimate the state of the world in tasks like robot...
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12/05/2019
Learning Human Objectives by Evaluating Hypothetical Behavior
We seek to align agent behavior with a user's objectives in a reinforcem...
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09/22/2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Autonomous robots often encounter challenging situations where their con...
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05/27/2019
SQIL: Imitation Learning via Regularized Behavioral Cloning
Learning to imitate expert behavior given action demonstrations containi...
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05/21/2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Inferring intent from observed behavior has been studied extensively wit...
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02/06/2018
Shared Autonomy via Deep Reinforcement Learning
In shared autonomy, user input is combined with semi-autonomous control ...
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02/23/2016
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
In the study of human learning, there is broad evidence that our ability...
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02/23/2016