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Johannes Ackermann — most-cited papers & profile · Reinforcement Learning

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Johannes Ackermann

8 papers · 92 citations · 13 h-index

University Hospital Schleswig-Holstein · Universitäts Hautklinik Kiel · RIKEN Center for Advanced Intelligence Project · University of Lübeck

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Most-cited papers

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
2019 · 70 citations
Recursive Reward Aggregation
2025 · 2 citations
Mitigating Reward Hacking in RLHF via Advantage Sign Robustness
2026
Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
2026
Offline Reinforcement Learning with Domain-Unlabeled Data
2024
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
2024

Top co-authors

Masashi Sugiyama · 6 Soichiro Nishimori · 3 Takashi Ishida · 2 Takayuki Osa · 2 Michael Noukhovitch · 1 Shinnosuke Ono · 1 Volker Gabler · 1 Xin-Qiang Cai · 1 Yivan Zhang · 1 Yu-Jie Zhang · 1 Yuting Tang · 1

Topics

Value-Based cs.LG cs.AI cs.CL Offline RL RLHF & Alignment Policy Gradient Multi-Agent Model-Based RL