no code implementations • 16 Mar 2023 • Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
Real-world robotic manipulation tasks remain an elusive challenge, since they involve both fine-grained environment interaction, as well as the ability to plan for long-horizon goals.
no code implementations • 26 May 2022 • Marco Bagatella, Sammy Christen, Otmar Hilliges
Several methods, such as behavioral priors, are able to leverage offline data in order to efficiently accelerate reinforcement learning on complex tasks.
2 code implementations • NeurIPS 2021 • Marco Bagatella, Mirek Olšák, Michal Rolínek, Georg Martius
The ability to form complex plans based on raw visual input is a litmus test for current capabilities of artificial intelligence, as it requires a seamless combination of visual processing and abstract algorithmic execution, two traditionally separate areas of computer science.