Pascal Klink
8 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Reinforcement Learning
(5)
Artificial Intelligence
(4)
Methods
(4)
Core AI
(3)
Applications
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
reinforcement learning
(4)
task distribution
(3)
curriculum learning
(2)
curriculum generation
(2)
curriculum reinforcement learning
(2)
variational inference
(1)
uncertainty quantification
(1)
optimal transport
(1)
policy learning
(1)
domain randomization
(1)
markov decision process
(1)
value iteration
(1)
partially observable markov decision process
(1)
exploration exploitation
(1)
relative entropy
(1)
entropy maximization
(1)
self-paced learning
(1)
active learning
(1)
bayesian optimization
(1)
monte carlo tree search
(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
NeurIPS 2020
Self-Paced Contextual Reinforcement Learning
CoRL 2019