Igor Babuschkin

According to our database1, Igor Babuschkin authored at least 17 papers between 2017 and 2023.

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Bibliography

2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.
CoRR, 2023

Formal Mathematics Statement Curriculum Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Competition-Level Code Generation with AlphaCode.
CoRR, 2022

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.
CoRR, 2022

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.
CoRR, 2022

2021
Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

Unsupervised Neural Machine Translation with Generative Language Models Only.
CoRR, 2021

Evaluating Large Language Models Trained on Code.
CoRR, 2021

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
SunPy: A Python package for Solar Physics.
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J. Open Source Softw., 2020

2019
Grandmaster level in StarCraft II using multi-agent reinforcement learning.
Nat., 2019

Unsupervised Doodling and Painting with Improved SPIRAL.
CoRR, 2019

Deep reinforcement learning with relational inductive biases.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Relational Deep Reinforcement Learning.
CoRR, 2018


Synthesizing Programs for Images using Reinforced Adversarial Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Everware toolkit. Supporting reproducible science and challenge-driven education.
CoRR, 2017


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