André Biedenkapp
9 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(8)
Reinforcement Learning
(6)
Learning Types
(4)
Methods
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Applications
(3)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Deep Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
hyperparameter optimization
(4)
reinforcement learning
(3)
deep reinforcement learning
(2)
sample efficiency
(2)
bayesian optimization
(2)
in-context learning
(1)
gaussian process
(1)
curriculum learning
(1)
dynamics modeling
(1)
meta-reinforcement learning
(1)
neural network optimization
(1)
value iteration
(1)
model-based reinforcement learning
(1)
action selection
(1)
hyperparameter tuning
(1)
self-paced learning
(1)
neural architecture search
(1)
online reinforcement learning
(1)
policy learning
(1)
model selection
(1)
Papers
Efficient Cross-Episode Meta-RL
ICLR 2025
HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning
AutoML 2024
Gray-Box Gaussian Processes for Automated Reinforcement Learning
ICLR 2023
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
JMLR 2022
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
IJCAI 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
Sample-Efficient Automated Deep Reinforcement Learning
ICLR 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
ICML 2021
TempoRL: Learning When to Act
ICML 2021