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Kosuke Kawakami — most-cited papers & profile · Reinforcement Learning
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Kosuke Kawakami
4
papers ·
2
citations ·
2
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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
A General Framework for Off-Policy Learning with Partially-Observed Reward
2025
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
Yuta Saito
· 4
Haruka Kiyohara
· 3
Kazuhide Nakata
· 2
Ken Kobayashi
· 2
Ren Kishimoto
· 2
Masahiro Asami
· 1
Rikiya Takehi
· 1
Topics
Offline RL
Safe RL
Policy Gradient
Value-Based