Keiran Paster

According to our database, Keiran Paster authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Llemma: An Open Language Model For Mathematics.

Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck

CoRR, 2023

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, Jimmy Ba

CoRR, 2023

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft.

Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models are Human-Level Prompt Engineers.

Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

You Can't Count on Luck: Why Decision Transformers Fail in Stochastic Environments.

Keiran Paster, Sheila A. McIlraith, Jimmy Ba

CoRR, 2022

You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments.

Keiran Paster, Sheila A. McIlraith, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning Domain Invariant Representations in Goal-conditioned Block MDPs.

Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Planning from Pixels using Inverse Dynamics Models.

Keiran Paster, Sheila A. McIlraith, Jimmy Ba

Proceedings of the 9th International Conference on Learning Representations, 2021