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Alexander Kuhnle — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Alexander Kuhnle
5
papers ·
44
citations ·
8
h-index
University of Cambridge
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
2018 · 38 citations
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
2020 · 5 citations
A review on Deep Reinforcement Learning for Fluid Mechanics
2019 · 1 citations
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
2020
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
2021
Top co-authors
Alessandro Sestini
· 3
Andrew D. Bagdanov
· 3
Aurélien Larcher
· 1
Ben Ellis
· 1
Eiko Yoneki
· 1
Elie Hachem
· 1
Felix Gessert
· 1
Jean Rabault
· 1
Jonathan Viquerat
· 1
Kai Fricke
· 1
Michael Schaarschmidt
· 1
Topics
Value-Based
Policy Gradient
Game AI
Model-Based RL
Offline RL
Multi-Agent
Exploration
Meta-RL