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Haruka Kiyohara — most-cited papers & profile · Reinforcement Learning
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Haruka Kiyohara
6
papers ·
2
citations ·
6
h-index
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Most-cited papers
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
2021 · 2 citations
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
2026
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
2023
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
2023
Top co-authors
Kosuke Kawakami
· 3
Kazuhide Nakata
· 2
Ken Kobayashi
· 2
Ren Kishimoto
· 2
Yuta Saito
· 2
Ana-Roxana Pop
· 1
Ariel Evnine
· 1
Israel Nir
· 1
Mihaela Curmei
· 1
Nitzan Razin
· 1
Sarah Dean
· 1
Shankar Kalyanaraman
· 1
Topics
Offline RL
Safe RL
Policy Gradient
Model-Based RL
Value-Based