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Bernhard Sch\"olkopf — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Bernhard Sch\"olkopf
84
papers ·
534
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deconfounding Reinforcement Learning in Observational Settings
2018 · 35 citations
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
2020 · 16 citations
Learning to Play Table Tennis From Scratch using Muscular Robots
2020 · 11 citations
Fast and Slow Learning of Recurrent Independent Mechanisms
2021 · 5 citations
Optimal Decision Making Under Strategic Behavior
2019 · 4 citations
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
2025 · 3 citations
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
2021 · 3 citations
Neural Lyapunov Redesign
2020 · 2 citations
Direct Advantage Estimation
2021 · 2 citations
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
2022 · 2 citations
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
2023 · 2 citations
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
2023 · 1 citations
Identifying Policy Gradient Subspaces
2024 · 1 citations
Learning POMDP World Models from Observations with Language-Model Priors
2026
Bounded Ratio Reinforcement Learning
2026
Top co-authors
Dieter B\"uchler
· 5
Stefan Bauer
· 4
Aliz\'ee Pace
· 2
Chaochao Lu
· 2
Francesco Locatello
· 2
Frederik Tr\"auble
· 2
Gunnar R\"atsch
· 2
Jos\'e Miguel Hern\'andez-Lobato
· 2
Le Chen
· 2
Manuel W\"uthrich
· 2
Nico G\"urtler
· 2
Adish Singla
· 1
Topics
Model-Based RL
Exploration
Safe RL
Policy Gradient
Offline RL
Value-Based
Meta-RL
Multi-Agent
cs.LG
Game AI