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Daniel Palenicek — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniel Palenicek
10
papers ·
129
citations ·
6
h-index
Technische Universität Darmstadt
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
2020 · 104 citations
SAMBA: Safe Model-Based & Active Reinforcement Learning
2020 · 17 citations
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
2019 · 7 citations
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
2025 · 1 citations
XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
2025
Scaling CrossQ with Weight Normalization
2025
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
2025
Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
2024
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
2023
Diminishing Return of Value Expansion Methods
2024
Top co-authors
Florian Vogt
· 3
Jan Peters
· 3
Boris Belousov
· 2
Aditya Bhatt
· 1
Aivar Sootla
· 1
Alexander Cowen Rivers
· 1
Alexander I. Cowen-Rivers
· 1
and Jan Peters
· 1
Artemij Amiranashvili
· 1
Aurora Chongxi Huang
· 1
Baokuan Zhang
· 1
Carlo D'Eramo
· 1
Topics
Value-Based
Model-Based RL
Offline RL
Policy Gradient
Game AI
Safe RL
Exploration
Multi-Agent