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04/19/2023
Bridging RL Theory and Practice with the Effective Horizon
Deep reinforcement learning (RL) works impressively in some environments...
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04/22/2022
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
Models of human behavior for prediction and collaboration tend to fall i...
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06/19/2021
Learning the Preferences of Uncertain Humans with Inverse Decision Theory
Existing observational approaches for learning human preferences, such a...
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06/22/2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
We present adversarial attacks and defenses for the perceptual adversari...
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11/25/2019
Playing it Safe: Adversarial Robustness with an Abstain Option
We explore adversarial robustness in the setting in which it is acceptab...
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05/29/2019
Functional Adversarial Attacks
We propose functional adversarial attacks, a novel class of threat model...
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05/08/2019
