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Jake Grigsby
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TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
J Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
7362020
Long-range transformers for dynamic spatiotemporal forecasting
J Grigsby, Z Wang, N Nguyen, Y Qi
arXiv preprint arXiv:2109.12218, 2021
1232021
Measuring Visual Generalization in Continuous Control from Pixels
J Grigsby, Y Qi
NeurIPS 2020 Workshop on Deep Reinforcement Learning, 2020
282020
Deep learning analysis of deeply virtual exclusive photoproduction
J Grigsby, B Kriesten, J Hoskins, S Liuti, P Alonzi, M Burkardt
Physical Review D 104 (1), 016001, 2021
242021
Amago: Scalable in-context reinforcement learning for adaptive agents
J Grigsby, L Fan, Y Zhu
arXiv preprint arXiv:2310.09971, 2023
172023
PGrad: Learning Principal Gradients For Domain Generalization
Z Wang, J Grigsby, Y Qi
arXiv preprint arXiv:2305.01134, 2023
142023
RARE: Renewable Energy Aware Resource Management in Datacenters
V Venkataswamy, J Grigsby, A Grimshaw, Y Qi
Workshop on Job Scheduling Strategies for Parallel Processing, 108-130, 2022
92022
Towards Automatic Actor-Critic Solutions to Continuous Control
J Grigsby, JY Yoo, Y Qi
NeurIPS 2021 Workshop on Deep Reinforcement Learning, 2021
82021
ST-MAML: A stochastic-task based method for task-heterogeneous meta-learning
Z Wang, J Grigsby, A Sekhon, Y Qi
Uncertainty in Artificial Intelligence, 2066-2074, 2022
62022
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets
J Grigsby, Y Qi
arXiv preprint arXiv:2110.04698, 2021
32021
Cross-Episodic Curriculum for Transformer Agents
LX Shi, Y Jiang, J Grigsby, L Fan, Y Zhu
Advances in Neural Information Processing Systems 36, 2024
12024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
J Grigsby, J Sasek, S Parajuli, D Adebi, A Zhang, Y Zhu
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
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Articles 1–12