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07/12/2023
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Policies often fail due to distribution shift – changes in the state and...
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04/11/2023
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
Robots have been increasingly better at doing tasks for humans by learni...
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02/03/2023
Aligning Robot and Human Representations
To act in the world, robots rely on a representation of salient task asp...
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01/02/2023
SIRL: Similarity-based Implicit Representation Learning
When robots learn reward functions using high capacity models that take ...
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11/30/2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
One of the most successful paradigms for reward learning uses human feed...
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05/15/2022
Aligning Robot Representations with Humans
As robots are increasingly deployed in real-world scenarios, a key quest...
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03/04/2022
Teaching Robots to Span the Space of Functional Expressive Motion
Our goal is to enable robots to perform functional tasks in emotive ways...
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01/18/2022
Inducing Structure in Reward Learning by Learning Features
Reward learning enables robots to learn adaptable behaviors from human i...
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11/09/2021
Learning Perceptual Concepts by Bootstrapping from Human Queries
Robots need to be able to learn concepts from their users in order to ad...
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04/14/2021
Situational Confidence Assistance for Lifelong Shared Autonomy
Shared autonomy enables robots to infer user intent and assist in accomp...
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03/13/2021
Dynamically Switching Human Prediction Models for Efficient Planning
As environments involving both robots and humans become increasingly com...
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06/23/2020
Feature Expansive Reward Learning: Rethinking Human Input
In collaborative human-robot scenarios, when a person is not satisfied w...
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02/03/2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Human input has enabled autonomous systems to improve their capabilities...
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01/13/2020
LESS is More: Rethinking Probabilistic Models of Human Behavior
Robots need models of human behavior for both inferring human goals and ...
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10/11/2018
