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William Hebgen Guss — most-cited papers & profile · Reinforcement Learning
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William Hebgen Guss
4
papers ·
1468
citations
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Semantic Scholar ↗
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Most-cited papers
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
2021 · 9 citations
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
2021 · 7 citations
Towards robust and domain agnostic reinforcement learning competitions
2021 · 1 citations
Top co-authors
Brandon Houghton
· 2
Sharada Mohanty
· 2
Adrien Ecoffet
· 1
Adrien Gaidon
· 1
Andrew Melnik
· 1
Andrey Kolobov
· 1
Anssi Kanervisto
· 1
Augustin Harter
· 1
Benoit Buschmaas
· 1
Bjarne Jaster
· 1
Blake Wulfe
· 1
Bowen Baker
· 1
Topics
Exploration
Meta-RL
Game AI
Safe RL
Multi-Agent