WG
William Hebgen Guss
cs.LGstat.MLcs.AIcs.NEcs.CGcs.CVcs.ROmath.ATmath.FA
On Valency
published · living versionsW_3seyyh2p·v1 · currentpublished
Evaluating Large Language Models Trained on Code
with Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan +53
1 version
Preprints & journals
13 papers in the corpus · 2016–2021Evaluating Large Language Models Trained on Code2107.03374v2 · Mark Chen, Jerry Tworek, Heewoo Jun et al.2021 · 1,468 citationsarXivon Valency
The MineRL BASALT Competition on Learning from Human Feedback2107.01969v1 · Rohin Shah, Cody Wild, Steven H. Wang et al.2021 · 4 citationsarXiv
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft2106.14876v1 · Ingmar Kanitscheider, Joost Huizinga, David Farhi et al.2021 · 9 citationsarXiv
Towards robust and domain agnostic reinforcement learning competitions2106.03748v1 · William Hebgen Guss, Stephanie Milani, Nicholay Topin et al.2021 · 1 citationarXiv
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark2103.15332v1 · Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon et al.2021 · 8 citationsarXiv
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors2101.11071v1 · William H. Guss, Mario Ynocente Castro, Sam Devlin et al.2021 · 13 citationsarXiv
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors1904.10079v3 · William H. Guss, Cayden Codel, Katja Hofmann et al.2019 · 45 citationsarXiv
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning2003.05012v4 · Stephanie Milani, Nicholay Topin, Brandon Houghton et al.2020 · 9 citationsarXiv
Guaranteeing Reproducibility in Deep Learning Competitions2005.06041v1 · Brandon Houghton, Stephanie Milani, Nicholay Topin et al.2020 · 3 citationsarXiv
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps1910.01545v1 · William H. Guss, Ruslan Salakhutdinov2019 · 6 citationsarXiv
MineRL: A Large-Scale Dataset of Minecraft Demonstrations1907.13440v1 · William H. Guss, Brandon Houghton, Nicholay Topin et al.2019 · 105 citationsarXiv
On Characterizing the Capacity of Neural Networks using Algebraic Topology1802.04443v1 · William H. Guss, Ruslan Salakhutdinov2018 · 59 citationsarXiv
Deep Function Machines: Generalized Neural Networks for Topological Layer Expression1612.04799v2 · William H. Guss2016 · 9 citationsarXiv
Career total: 16 works. 13 are in this corpus.
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