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Jake Grigsby

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

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Nov 05, 2023
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Cross-Episodic Curriculum for Transformer Agents

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Oct 12, 2023
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PGrad: Learning Principal Gradients For Domain Generalization

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May 02, 2023
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Launchpad: Learning to Schedule Using Offline and Online RL Methods

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Dec 02, 2022
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RARE: Renewable Energy Aware Resource Management in Datacenters

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Nov 10, 2022
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A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets

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Oct 10, 2021
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ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning

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Sep 27, 2021
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Long-Range Transformers for Dynamic Spatiotemporal Forecasting

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Sep 24, 2021
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Towards Automatic Actor-Critic Solutions to Continuous Control

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Jun 16, 2021
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Measuring Visual Generalization in Continuous Control from Pixels

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Oct 13, 2020
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