1 code implementation • 24 Oct 2022 • Johannes Ackermann, Minjun Li
We first use Blended Diffusion to edit the image at a low resolution, and then upscale it in multiple stages, using a super-resolution model and Blended Diffusion.
1 code implementation • 1 Jan 2021 • Johannes Ackermann, Oliver Paul Richter, Roger Wattenhofer
We show the generality of our approach by evaluating on simple discrete and continuous control tasks, as well as complex bipedal walker tasks and Atari games.
2 code implementations • 3 Oct 2019 • Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama
Finally, we investigate the application of multi-agent methods to high-dimensional robotic tasks and show that our approach can be used to learn decentralized policies in this domain.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)