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Yuta Saito — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yuta Saito
11
papers ·
27
citations ·
13
h-index
Cornell University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
2020 · 5 citations
Optimal Off-Policy Evaluation from Multiple Logging Policies
2020 · 2 citations
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
2021 · 2 citations
A General Framework for Off-Policy Learning with Partially-Observed Reward
2025
Off-Policy Evaluation and Learning for the Future under Non-Stationarity
2025
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
2023
Top co-authors
Kosuke Kawakami
· 3
Haruka Kiyohara
· 2
Yusuke Narita
· 2
Kazuhide Nakata
· 1
Kazuki Kawamura
· 1
Kei Tateno
· 1
Ken Kobayashi
· 1
Masahiro Asami
· 1
Masatoshi Uehara
· 1
Megumi Matsutani
· 1
Nathan Kallus
· 1
Ren Kishimoto
· 1
Topics
Offline RL
Policy Gradient
Safe RL
Model-Based RL
Value-Based