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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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06/15/2023
Who Needs to Know? Minimal Knowledge for Optimal Coordination
To optimally coordinate with others in cooperative games, it is often cr...
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05/26/2023
Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization
As social media continues to have a significant influence on public opin...
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03/16/2023
Characterizing Manipulation from AI Systems
Manipulation is a common concern in many domains, such as social media, ...
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02/20/2023
Harms from Increasingly Agentic Algorithmic Systems
Research in Fairness, Accountability, Transparency, and Ethics (FATE) ha...
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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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11/20/2022
UniMASK: Unified Inference in Sequential Decision Problems
Randomly masking and predicting word tokens has been a successful approa...
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11/03/2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
AI agents designed to collaborate with people benefit from models that e...
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04/28/2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Randomly masking and predicting word tokens has been a successful approa...
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04/25/2022
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
The content that a recommender system (RS) shows to users influences the...
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01/14/2021
Evaluating the Robustness of Collaborative Agents
In order for agents trained by deep reinforcement learning to work along...
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10/13/2019
