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Pascal Klink
Pascal Klink
Bestätigte E-Mail-Adresse bei tu-darmstadt.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Self-paced contextual reinforcement learning
P Klink, H Abdulsamad, B Belousov, J Peters
Conference on Robot Learning, 513-529, 2019
492019
Self-Paced Deep Reinforcement Learning
P Klink, C D'Eramo, J Peters, J Pajarinen
Advances in Neural Information Processing Systems, 9216--9227, 2020
472020
Curriculum Reinforcement Learning via Constrained Optimal Transport
P Klink, H Yang, C D’Eramo, J Pajarinen, J Peters
International Conference on Machine Learning (ICML), 2022
312022
Latent Derivative Bayesian Last Layer Networks
J Watson, JA Lin, P Klink, J Pajarinen, J Peters
International Conference on Artificial Intelligence and Statistics, 1198-1206, 2021
272021
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
232021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
P Klink, H Abdulsamad, B Belousov, C D'Eramo, J Peters, J Pajarinen
Journal of Machine Learning Research 22 (182), 1-52, 2021
222021
Neural Linear Models with Functional Gaussian Process Priors
J Watson, JA Lin, P Klink, J Peters
Third Symposium on Advances in Approximate Bayesian Inference, 2020
102020
Boosted curriculum reinforcement learning
P Klink, C D'Eramo, J Peters, J Pajarinen
International Conference on Learning Representations, 2022
72022
Generalized Mean Estimation in Monte-Carlo Tree Search
T Dam, P Klink, C D'Eramo, J Peters, J Pajarinen
International Joint Conference on Artificial Intelligence, 2397--2404, 2020
62020
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning
H Abdulsamad, P Nickl, P Klink, J Peters
2021 IEEE International Conference on Robotics and Automation (ICRA), 4216-4222, 2021
52021
Model-Based Reinforcement Learning from PILCO to PETS
P Klink
Reinforcement Learning Algorithms: Analysis and Applications, 165-175, 2021
42021
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
P Klink, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2309.14091, 2023
12023
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning
P Klink, F Wolf, K Ploeger, J Peters, J Pajarinen
arXiv preprint arXiv:2309.14096, 2023
12023
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics
H Abdulsamad, P Nickl, P Klink, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
12023
Domain Randomization via Entropy Maximization
G Tiboni, P Klink, J Peters, T Tommasi, C D'Eramo, G Chalvatzaki
International Conference on Learning Representations, 2024
2024
Function-Space Regularization for Deep Bayesian Classification
JA Lin, J Watson, P Klink, J Peters
Symposium on Advances in Approximate Bayesian Inference (AABI), 2023
2023
Generalization and Transferability in Reinforcement Learning
P Klink
Technische Universität Darmstadt, 0
Reinforcement Learning Curricula as Interpolations between Task Distributions
P Klink
Technische Universität Darmstadt, 0
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