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Louis Kirsch — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Louis Kirsch
10
papers ·
68
citations ·
7
h-index
Dalle Molle Institute for Artificial Intelligence Research
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Semantic Scholar ↗
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Most-cited papers
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
2019 · 59 citations
The Benefits of Model-Based Generalization in Reinforcement Learning
2022 · 3 citations
Parameter-Based Value Functions
2020 · 1 citations
Goal-Conditioned Generators of Deep Policies
2022 · 1 citations
Exploring through Random Curiosity with General Value Functions
2022 · 1 citations
Introducing Symmetries to Black Box Meta Reinforcement Learning
2021
Discovering Temporally-Aware Reinforcement Learning Algorithms
2024
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
2024
Top co-authors
J\"urgen Schmidhuber
· 5
Aditya Ramesh
· 3
Francesco Faccio
· 2
Kenny Young
· 2
Sjoerd van Steenkiste
· 2
Abram Friesen
· 1
Aditya A. Ramesh
· 1
Chris Lu
· 1
Hado van Hasselt
· 1
Jakob Nicolaus Foerster
· 1
Junhyuk Oh
· 1
Jürgen Schmidhuber
· 1
Topics
Meta-RL
Value-Based
Policy Gradient
Exploration
Model-Based RL
Offline RL