publications

A complete list of my publications.

2024

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    Llemma: An Open Language Model For Mathematics
    In International Conference on Learning Representations, 2024
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    OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
    Keiran Paster*Marco Dos Santos*Zhangir Azerbayev, and Jimmy Ba
    In International Conference on Learning Representations, 2024

2023

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    STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
    In Advances in Neural Information Processing Systems, 2023
    Spotlight
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    Large Language Models are Human-Level Prompt Engineers
    In International Conference on Learning Representations, 2023

2022

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    You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
    Keiran PasterSheila A. McIlraith, and Jimmy Ba
    In Advances in Neural Information Processing Systems, 2022

2021

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    BLAST: Latent Dynamics Models from Bootstrapping
    Keiran Paster*Lev E McKinney*Sheila A. McIlraith, and Jimmy Ba
    In Deep Reinforcement Learning Workshop NeurIPS, 2021
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    Learning Domain Invariant Representations in Goal-conditioned Block MDPs
    Beining Han, Chongyi Zheng, Harris ChanKeiran PasterMichael R. Zhang, and Jimmy Ba
    In Advances in Neural Information Processing Systems, 2021
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    Planning from Pixels using Inverse Dynamics Models
    Keiran PasterSheila A. McIlraith, and Jimmy Ba
    In International Conference on Learning Representations, 2021

2018

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    Equilibrium finding via asymmetric self-play reinforcement learning
    Jie Tang*, Keiran Paster*, and Pieter Abbeel
    In Deep Reinforcement Learning Workshop NeurIPS, 2018