Pascal Klink
8 papers
· 2019–2024
· 7 conferences
· across top CS/AI conferences
Achievements
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Hot Topic Early Bird
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Keyword Pioneer
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Conference Polyglot
(7)
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Academic Marathon
(5)
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Cross-Pollinator
(9)
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Interdisciplinary Bridge
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Taxonomy Completionist
(15)
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Trend Setter
Conferences
ICLR (2)
AISTATS (1)
CORL (1)
ICML (1)
IJCAI (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
task distribution
(3)
reinforcement learning
(3)
curriculum learning
(2)
curriculum generation
(2)
uncertainty quantification
(1)
optimal transport
(1)
policy learning
(1)
markov decision process
(1)
partially observable markov decision process
(1)
exploration exploitation
(1)
relative entropy
(1)
self-paced learning
(1)
monte-carlo tree search
(1)
bayesian optimization
(1)
learning progress
(1)
upper confidence bound
(1)
out-of-distribution detection
(1)
contextual reinforcement learning
(1)
bayesian neural network
(1)
power mean operator
(1)
Papers
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021
Self-Paced Deep Reinforcement Learning
NIPS 2020