Felix Berkenkamp
16 papers · 2016–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (8)
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Hot Topic Early Bird
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Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(10)
π±
Topic Pioneer
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(5)
π
Century Club
(16)
Conferences
NIPS (5)
AISTATS (3)
ICLR (3)
JMLR (2)
CORL (1)
ICML (1)
L4DC (1)
Top co-authors
Keywords
gaussian process
(9)
bayesian optimization
(5)
model-based reinforcement learning
(4)
uncertainty quantification
(3)
safe exploration
(3)
epistemic uncertainty
(2)
bayesian reinforcement learning
(1)
transfer learning
(1)
few-shot learning
(1)
distributional reinforcement learning
(1)
markov decision process
(1)
sequential decision making
(1)
lyapunov function
(1)
bellman equation
(1)
variational inference
(1)
quantile regression
(1)
policy search
(1)
value function
(1)
hierarchical model
(1)
online learning
(1)
Papers
Value-Distributional Model-Based Reinforcement Learning
JMLR 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
Model-Based Uncertainty in Value Functions
AISTATS 2023
Information-Theoretic Safe Exploration with Gaussian Processes
NIPS 2022
On-Policy Model Errors in Reinforcement Learning
ICLR 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization
AISTATS 2022
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models
L4DC 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
NIPS 2020
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
ICLR 2020
Safe Exploration for Interactive Machine Learning
NIPS 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters
JMLR 2019
Information-Directed Exploration for Deep Reinforcement Learning
ICLR 2019
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
CORL 2018
Safe Model-based Reinforcement Learning with Stability Guarantees
NIPS 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
NIPS 2016