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06/14/2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Whereas machine learning models typically learn language by directly tra...
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01/19/2023
A Survey of Meta-Reinforcement Learning
While deep reinforcement learning (RL) has fueled multiple high-profile ...
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12/08/2022
Learning Options via Compression
Identifying statistical regularities in solutions to some tasks in multi...
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11/16/2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Developing interactive software, such as websites or games, is a particu...
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07/19/2021
Just Train Twice: Improving Group Robustness without Training Group Information
Standard training via empirical risk minimization (ERM) can produce mode...
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08/06/2020
Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning
We seek to efficiently learn by leveraging shared structure between diff...
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07/12/2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer
Model-based reinforcement learning (RL) is appealing because (i) it enab...
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06/29/2020
An Imitation Learning Approach for Cache Replacement
Program execution speed critically depends on increasing cache hits, as ...
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02/24/2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Reinforcement learning (RL) agents improve through trial-and-error, but ...
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04/25/2017