ML Anthology

Klink, Pascal

9 publications

ICLR 2024 Domain Randomization via Entropy Maximization Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
NeurIPSW 2023 Using Proto-Value Functions for Curriculum Generation in Goal-Conditioned RL Henrik Metternich, Ahmed Hendawy, Pascal Klink, Jan Peters, Carlo D'Eramo
ICLR 2022 Boosted Curriculum Reinforcement Learning Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
ICML 2022 Curriculum Reinforcement Learning via Constrained Optimal Transport Pascal Klink, Haoyi Yang, Carlo D’Eramo, Jan Peters, Joni Pajarinen
AISTATS 2021 Latent Derivative Bayesian Last Layer Networks Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
JMLR 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
IJCAI 2020 Generalized Mean Estimation in Monte-Carlo Tree Search Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
NeurIPS 2020 Self-Paced Deep Reinforcement Learning Pascal Klink, Carlo D'Eramo, Jan R Peters, Joni K. Pajarinen
CoRL 2019 Self-Paced Contextual Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters