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Lasse Espeholt — most-cited papers & profile · Reinforcement Learning
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overview
Lasse Espeholt
7
papers ·
1563
citations ·
16
h-index
Google (United States)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
2018 · 613 citations
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
2019 · 37 citations
Multi-task Deep Reinforcement Learning with PopArt
2018 · 24 citations
Agent-Centric Representations for Multi-Agent Reinforcement Learning
2021 · 7 citations
Top co-authors
Hubert Soyer
· 2
Anton Raichuk
· 1
Hado van Hasselt
· 1
Iain Dunning
· 1
Karen Simonyan
· 1
Ke Wang
· 1
Koray Kavukcuoglu
· 1
Marcin Michalski
· 1
Matteo Hessel
· 1
Piotr Stanczyk
· 1
Rapha\"el Marinier
· 1
Remi Munos
· 1
Topics
Game AI
Multi-Agent
Meta-RL
Value-Based
Policy Gradient
Exploration