Search Results for author:
Found 3 papers, 3 papers with code
High-Resolution Image Editing via Multi-Stage Blended Diffusion
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.
Unsupervised Task Clustering for Multi-Task Reinforcement Learning
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.
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
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)
