André Biedenkapp
9 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (17)
⚡
Prolific Year
(5)
🔥
Unstoppable
(5)
Conferences
ICLR (3)
ICML (2)
AISTATS (1)
AUTOML (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(2)
hyperparameter optimization
(2)
model selection
(1)
curriculum learning
(1)
policy learning
(1)
neural network optimization
(1)
dynamics modeling
(1)
value iteration
(1)
model-based reinforcement learning
(1)
action selection
(1)
self-paced learning
(1)
bayesian optimization
(1)
hyperparameter tuning
(1)
planning algorithm
(1)
data efficiency
(1)
contextual reinforcement learning
(1)
skip connection
(1)
algorithm configuration
(1)
algorithm performance
(1)
temporal decision making
(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
Sample-Efficient Automated Deep Reinforcement Learning
ICLR 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
ICML 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
IJCAI 2021
TempoRL: Learning When to Act
ICML 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021