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Felix Berkenkamp — most-cited papers & profile · Reinforcement Learning
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overview
Felix Berkenkamp
14
papers ·
530
citations ·
20
h-index
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Most-cited papers
Safe Model-based Reinforcement Learning with Stability Guarantees
2017 · 337 citations
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
2016 · 68 citations
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
2019 · 52 citations
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
2020 · 48 citations
Information-Directed Exploration for Deep Reinforcement Learning
2018 · 11 citations
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
2020 · 8 citations
Model-Based Uncertainty in Value Functions
2023 · 1 citations
Value-Distributional Model-Based Reinforcement Learning
2023 · 1 citations
On-Policy Model Errors in Reinforcement Learning
2021
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning
2023
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization
2023
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
2024
Top co-authors
Andreas Krause
· 5
Alessandro G. Bottero
· 4
Carlos E. Luis
· 4
Jan Peters
· 4
Julia Vinogradska
· 4
Matteo Turchetta
· 3
Abbas Abdolmaleki
· 1
Angela P. Schoellig
· 1
Gaurav Manek
· 1
Johannes Kirschner
· 1
Joschka Boedecker
· 1
Jost Tobias Springenberg
· 1
Topics
Model-Based RL
Exploration
Value-Based
Safe RL
Offline RL
Policy Gradient