37 citations · 142 across the 32 of their papers we have counts for
3 papers · 1 filter
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation
Bas van der Heijden, Laura Ferranti, Jens Kober +1
This paper presents DeepKoCo, a novel model-based agent that learns a latent Koopman representation from images. This representation allows DeepKoCo to plan efficiently using linea…
Interactive Imitation Learning in State-Space
Snehal Jauhri, Carlos Celemin, Jens Kober
Imitation Learning techniques enable programming the behavior of agents through demonstrations rather than manual engineering. However, they are limited by the quality of available…
Smooth Exploration for Robotic Reinforcement Learning
Antonin Raffin, Jens Kober, Freek Stulp
Reinforcement learning (RL) enables robots to learn skills from interactions with the real world. In practice, the unstructured step-based exploration used in Deep RL -- often very…