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Kyrill Schmid — most-cited papers & profile · Reinforcement Learning
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Kyrill Schmid
6
papers ·
9
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
2018 · 5 citations
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies
2019 · 2 citations
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
2021
Decentralized scheduling through an adaptive, trading-based multi-agent system
2022
Top co-authors
Lenz Belzner
· 2
Thomas Gabor
· 2
Thomy Phan
· 2
Christoph Roch
· 1
Claudia Linnhoff-Popien
· 1
Lennart Rietdorf
· 1
Michael K\"olle
· 1
Philipp J. Altmann
· 1
Sebastian Feld
· 1
Tobias Müller
· 1
Topics
Multi-Agent
Value-Based
Model-Based RL
Policy Gradient
Exploration