2 papers
cs.LG2026
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
Zongyue Li, Xiao Han, Yusong Li +2
Diffusion-based world models have demonstrated strong capabilities in synthesizing realistic long-horizon trajectories for offline reinforcement learning (RL). However, many existi…
cs.LG2024
Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters
Collin Leiber, Niklas StrauÃ, Matthias Schubert +1
Finding meaningful groups, i.e., clusters, in high-dimensional data such as images or texts without labeled data at hand is an important challenge in data mining. In recent years,…