Pascal Klink
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Domain Randomization via Entropy Maximization. | Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki |
| 2022 | ICLR | Boosted Curriculum Reinforcement Learning. | Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2022 | ICML | Curriculum Reinforcement Learning via Constrained Optimal Transport. | Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2021 | AISTATS | Latent Derivative Bayesian Last Layer Networks. | Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters |
| 2021 | ICRA | A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. | Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters |
| 2020 | IJCAI | Generalized Mean Estimation in Monte-Carlo Tree Search. | Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2019 | CoRL | Self-Paced Contextual Reinforcement Learning. | Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters |