Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

no code implementations • 26 Feb 2024 • Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas, Michael Günther, Georgios Mastrapas, Vinit Ravishankar, Joan Fontanals Martínez, Feng Wang, Qi Liu, Ziniu Yu, Jie Fu, Saahil Ognawala, Susana Guzman, Bo wang, Maximilian Werk, Nan Wang, Han Xiao

We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language.

Contrastive Learning Multi-Task Learning +4

Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning

no code implementations • 11 Jul 2022 • Jan Achterhold, Markus Krimmel, Joerg Stueckler

In this paper we introduce a novel hierarchical reinforcement learning agent which links temporally extended skills for continuous control with a forward model in a symbolic discrete abstraction of the environment's state for planning.

Continuous Control Hierarchical Reinforcement Learning +2