Jake Grigsby
7 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(25)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(4)
Machine Learning
(4)
Reinforcement Learning
(3)
Architectures
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Methods
(3)
Application Areas
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Applications
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
meta-reinforcement learning
(2)
transformer architecture
(1)
multi-task learning
(1)
few-shot learning
(1)
imitation learning
(1)
domain generalization
(1)
text classification
(1)
policy gradient
(1)
curriculum learning
(1)
data augmentation
(1)
in-context learning
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
continuous control
(1)
off-policy learning
(1)
spectral analysis
(1)
adversarial attack
(1)
task distribution
(1)
goal-conditioned reinforcement learning
(1)
sequence model
(1)
Papers
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
NeurIPS 2024
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
ICLR 2024
Cross-Episodic Curriculum for Transformer Agents
NeurIPS 2023
PGrad: Learning Principal Gradients For Domain Generalization
ICLR 2023
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning
UAI 2022
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
EMNLP 2020