Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Jan Schneider — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jan Schneider
11
papers ·
103
citations ·
21
h-index
DIPF | Leibniz Institute for Research and Information in Education
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Identifying Policy Gradient Subspaces
2024 · 1 citations
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
2025
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
2023
Investigating the Impact of Action Representations in Policy Gradient Algorithms
2023
Top co-authors
Bernhard Sch\"olkopf
· 4
Dieter B\"uchler
· 4
Daniel H\"aufle
· 2
Pierre Schumacher
· 2
Simon Guist
· 2
Alexander Dittrich
· 1
Armin Keki\'c
· 1
Le Chen
· 1
Michel Besserve
· 1
Vincent Berenz
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Safe RL
Offline RL
Value-Based