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07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
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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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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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05/15/2022
Aligning Robot Representations with Humans
As robots are increasingly deployed in real-world scenarios, a key quest...
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04/18/2022
Strengthening Subcommunities: Towards Sustainable Growth in AI Research
AI's rapid growth has been felt acutely by scholarly venues, leading to ...
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09/08/2019
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Although systematic biases in decision-making are widely documented, the...
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06/10/2019
