Felix Berkenkamp
16 papers · 2016–2024 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Optimization & Theory
(9)
Reinforcement Learning
(8)
Bayesian & Probabilistic Β· Machine Learning
(8)
Methods
(7)
Learning Types
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Core AI
(5)
Applications
(4)
Learning Paradigms Β· Artificial Intelligence
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Paradigms Β· Machine Learning
(2)
Optimization
(2)
Keywords
gaussian process
(9)
bayesian optimization
(6)
model-based reinforcement learning
(5)
uncertainty quantification
(3)
safe exploration
(3)
distributional reinforcement learning
(2)
epistemic uncertainty
(2)
variational inference
(1)
policy optimization
(1)
reinforcement learning
(1)
bayesian reinforcement learning
(1)
sequential decision making
(1)
online learning
(1)
markov decision process
(1)
bellman equation
(1)
policy gradient
(1)
lyapunov function
(1)
value function
(1)
policy search
(1)
transfer learning
(1)
Papers
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
Value-Distributional Model-Based Reinforcement Learning
JMLR 2024
Model-Based Uncertainty in Value Functions
AISTATS 2023
Information-Theoretic Safe Exploration with Gaussian Processes
NeurIPS 2022
On-Policy Model Errors in Reinforcement Learning
ICLR 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization
AISTATS 2022
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
NeurIPS 2020
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
ICLR 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models
L4DC 2020
Information-Directed Exploration for Deep Reinforcement Learning
ICLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters
JMLR 2019
Safe Exploration for Interactive Machine Learning
NeurIPS 2019
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
CoRL 2018
Safe Model-based Reinforcement Learning with Stability Guarantees
NeurIPS 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
NeurIPS 2016