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Axel Plinge — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Axel Plinge
17
papers ·
93
citations
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Semantic Scholar ↗
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Most-cited papers
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving
2022 · 5 citations
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
2023 · 3 citations
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
2022 · 2 citations
C-MCTS: Safe Planning with Monte Carlo Tree Search
2023 · 2 citations
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
2022 · 1 citations
Warm-Start Variational Quantum Policy Iteration
2024 · 1 citations
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
2023
Top co-authors
Christopher Mutschler
· 7
Bjoern M. Eskofier
· 2
Daniel D. Scherer
· 2
Georgios Kontes
· 2
Lukas M. Schmidt
· 2
Nico Meyer
· 2
Sebastian Rietsch
· 2
Alexander Popov
· 1
and Daniel D. Scherer
· 1
and Michael J. Hartmann
· 1
Christian Ufrecht
· 1
Dinesh Parthasarathy
· 1
Topics
Safe RL
Value-Based
Model-Based RL
Policy Gradient
Offline RL
Multi-Agent
Exploration
Meta-RL