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03/09/2023
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable
In reinforcement learning, the classic objectives of maximizing discount...
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10/20/2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
We propose a model-based lifelong reinforcement-learning approach that e...
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06/07/2022
Meta-Learning Transferable Parameterized Skills
We propose a novel parameterized skill-learning algorithm that aims to l...
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03/20/2022
Does DQN really learn? Exploring adversarial training schemes in Pong
In this work, we study two self-play training schemes, Chainer and Pool,...
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12/09/2021
Learning Generalizable Behavior via Visual Rewrite Rules
Though deep reinforcement learning agents have achieved unprecedented su...
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11/24/2021
Reinforcement Learning for General LTL Objectives Is Intractable
In recent years, researchers have made significant progress in devising ...
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10/23/2021
Coarse-Grained Smoothness for RL in Metric Spaces
Principled decision-making in continuous state–action spaces is impossib...
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04/01/2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications
Algorithmic fairness has emphasized the role of biased data in automated...
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10/17/2020
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains
A generally intelligent agent requires an open-scope world model: one ri...
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03/14/2019
Teaching with IMPACT
Like many problems in AI in their general form, supervised learning is c...
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01/16/2019
ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
In autonomous vehicle (AV) control, allowing mistakes can be quite dange...
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12/07/2018
Measuring and Characterizing Generalization in Deep Reinforcement Learning
Deep reinforcement-learning methods have achieved remarkable performance...
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10/16/2018
Finding Options that Minimize Planning Time
While adding temporally abstract actions, or options, to an agent's acti...
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09/24/2018
Personalized Education at Scale
Tailoring the presentation of information to the needs of individual stu...
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09/01/2017
