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Eiko Yoneki — most-cited papers & profile · Reinforcement Learning
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·
overview
Eiko Yoneki
10
papers ·
58
citations ·
31
h-index
University of Cambridge
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
2018 · 38 citations
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
2018 · 11 citations
CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning
2025 · 4 citations
IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads
2024 · 4 citations
Learning Runtime Parameters in Computer Systems with Delayed Experience Injection
2016 · 3 citations
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation
2023 · 2 citations
AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
2025
Wield: Systematic Reinforcement Learning With Progressive Randomization
2019
GDDR: GNN-based Data-Driven Routing
2021
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
2022
Top co-authors
Michael Schaarschmidt
· 4
Kai Fricke
· 3
Felix Gessert
· 2
Guoliang He
· 2
Sean Parker
· 2
Taiyi Wang
· 2
Alexander Kuhnle
· 1
Ben Ellis
· 1
Oliver Hope
· 1
Sami Alabed
· 1
Sven Mika
· 1
Valentin Dalibard
· 1
Topics
Model-Based RL
Value-Based
Exploration
Policy Gradient
Meta-RL
Multi-Agent
Game AI
Offline RL