Large-scale text-to-image diffusion models have shown impressive capabil...
Preference-based reinforcement learning (PbRL) promises to learn a compl...
In this paper, we present ContExtual Imitation
Learning (CEIL), a genera...
This study focuses on the topic of offline preference-based reinforcemen...
Unsupervised reinforcement learning aims to acquire skills without prior...
We propose an approach for inverse reinforcement learning from hetero-do...
The purpose of few-shot recognition is to recognize novel categories wit...