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Shu Ishida — most-cited papers & profile · Reinforcement Learning
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Shu Ishida
5
papers ·
5
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LangProp: A code optimization framework using Large Language Models applied to driving
2024 · 2 citations
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments
2024 · 1 citations
Towards real-world navigation with deep differentiable planners
2021
Top co-authors
Jo\~ao F. Henriques
· 2
Anthony Hu
· 1
George Fedoseev
· 1
Gianluca Corrado
· 1
Hudson Yeo
· 1
Jamie Shotton
· 1
Joao F. Henriques
· 1
Lloyd Russell
· 1
Topics
Model-Based RL
Offline RL
Exploration
Safe RL
RLHF & Alignment
Policy Gradient
Game AI