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Jan Peters — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jan Peters
5
papers ·
0
citations ·
81
h-index
Technische Universität Darmstadt
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning
2025
$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
2025
XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
2025
Deep Reinforcement Learning Agents are not even close to Human Intelligence
2025
A Nonparametric Off-Policy Policy Gradient
2020
Top co-authors
Carlo D'Eramo
· 2
Th\'eo Vincent
· 2
Ahmed Hendawy
· 1
Aryaman Reddi
· 1
Bjarne Gregori
· 1
Constantin Rothkopf
· 1
Daniel Palenicek
· 1
Elisabeth Dillies
· 1
Fabian Tatai
· 1
Florian Vogt
· 1
Gabriele Tiboni
· 1
Hany Abdulsamad
· 1
Topics
Policy Gradient
Value-Based
Offline RL
Multi-Agent
Game AI
Meta-RL
Exploration