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Jan Peters — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jan Peters
83
papers ·
391
citations ·
81
h-index
Technische Universität Darmstadt
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
2024 · 62 citations
MushroomRL: Simplifying Reinforcement Learning Research
2020 · 35 citations
Switching Linear Dynamics for Variational Bayes Filtering
2019 · 32 citations
Learning to Fly via Deep Model-Based Reinforcement Learning
2020 · 24 citations
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
2016 · 19 citations
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
2023 · 19 citations
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
2020 · 13 citations
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
2022 · 13 citations
Learning to Play Table Tennis From Scratch using Muscular Robots
2020 · 11 citations
Model-based Lookahead Reinforcement Learning
2019 · 9 citations
Self-Paced Contextual Reinforcement Learning
2019 · 9 citations
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
2021 · 9 citations
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
2018 · 8 citations
Value Iteration in Continuous Actions, States and Time
2021 · 8 citations
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
2019 · 7 citations
Top co-authors
Carlo D'Eramo
· 12
Davide Tateo
· 11
Joni Pajarinen
· 9
Boris Belousov
· 8
Puze Liu
· 7
Pascal Klink
· 6
Georgia Chalvatzaki
· 5
Hany Abdulsamad
· 5
Alessandro G. Bottero
· 4
Carlos E. Luis
· 4
Felix Berkenkamp
· 4
Julia Vinogradska
· 4
Topics
Model-Based RL
Exploration
Value-Based
Policy Gradient
Safe RL
Meta-RL
Offline RL
Game AI
Multi-Agent
cs.NE