Grigsby, Jake

7 publications

ICLRW 2025 VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making Jake Grigsby, Yuke Zhu, Michael S Ryoo, Juan Carlos Niebles

NeurIPS 2024 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu

ICLR 2024 AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby, Linxi Fan, Yuke Zhu

NeurIPS 2023 Cross-Episodic Curriculum for Transformer Agents Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu

ICLR 2023 PGrad: Learning Principal Gradients for Domain Generalization Zhe Wang, Jake Grigsby, Yanjun Qi

UAI 2022 ST-MAML : A Stochastic-Task Based Method for Task-Heterogeneous Meta-Learning Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

NeurIPSW 2021 Towards Automatic Actor-Critic Solutions to Continuous Control Jake Grigsby, Jin Yong Yoo, Yanjun Qi