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Maximilian Schiffer — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Maximilian Schiffer
9
papers ·
13
citations ·
20
h-index
University of Wuppertal · Universität Bayern · Technical University of Munich
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Most-cited papers
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
2022 · 6 citations
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
2023 · 2 citations
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
2023 · 2 citations
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
2024 · 1 citations
Synthetic Monitoring Environments for Reinforcement Learning
2026
Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
2026
Structured Reinforcement Learning for Combinatorial Decision-Making
2025
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
2024
Top co-authors
Tobias Enders
· 4
Heiko Hoppe
· 3
Fabian Akkerman
· 2
James Harrison
· 2
Julius Luy
· 2
Wouter van Heeswijk
· 2
Axel Parmentier
· 1
Carolin Schmidt
· 1
Jasper I. Wiltfang
· 1
L\'eo Baty
· 1
Leonard Pleiss
· 1
Louis Bouvier
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Multi-Agent
Safe RL