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Kai Arulkumaran — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Kai Arulkumaran
12
papers ·
1456
citations ·
13
h-index
JNC (Japan)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Brief Survey of Deep Reinforcement Learning
2017 · 754 citations
Towards Deep Symbolic Reinforcement Learning
2016 · 146 citations
Classifying Options for Deep Reinforcement Learning
2016 · 18 citations
Variational Inference for Data-Efficient Model Learning in POMDPs
2018 · 7 citations
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
2019 · 7 citations
Privileged Information Dropout in Reinforcement Learning
2020 · 7 citations
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
2019 · 2 citations
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control
2019 · 2 citations
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
2022
Learning Relative Return Policies With Upside-Down Reinforcement Learning
2022
Top co-authors
Anil Anthony Bharath
· 5
Andrea Agostinelli
· 2
Dylan R. Ashley
· 2
Feryal Behbahani
· 2
J\"urgen Schmidhuber
· 2
Marta Sarrico
· 2
Murray Shanahan
· 2
Pierre Richemond
· 2
Jan St\"uhmer
· 1
Katja Hofmann
· 1
Marc Peter Deisenroth
· 1
Marta Garnelo
· 1
Topics
Value-Based
Meta-RL
Exploration
Game AI
Model-Based RL
Policy Gradient
cs.RO
Offline RL