no code implementations • 1 Jan 2021 • Marin Vlastelica Pogančić, Michal Rolinek, Georg Martius
Although model-based and model-free approaches to learning control of systems have achieved impressive results on standard benchmarks, most have been shown to be lacking in their generalization capabilities.
no code implementations • NeurIPS Workshop LMCA 2020 • Marin Vlastelica Pogančić, Michal Rolinek, Georg Martius
Although model-based and model-free approaches to learning the control of systems have achieved impressive results on standard benchmarks, most have been shown to be lacking in their generalization capabilities.
1 code implementation • NeurIPS 2019 • Sebastian Blaes, Marin Vlastelica Pogančić, Jia-Jie Zhu, Georg Martius
We present a novel intrinsically motivated agent that learns how to control the environment in the fastest possible manner by optimizing learning progress.
