Pascal Klink
8 papers · 2019–2024 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (5) π Cross-Pollinator (9)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
π
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
Domain Randomization via Entropy Maximization
ICLR 2024
Boosted Curriculum Reinforcement Learning
ICLR 2022
Curriculum Reinforcement Learning via Constrained Optimal Transport
ICML 2022
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
JMLR 2021
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021
Generalized Mean Estimation in Monte-Carlo Tree Search
IJCAI 2020
Self-Paced Deep Reinforcement Learning
NIPS 2020
Self-Paced Contextual Reinforcement Learning
CORL 2019