2 papers
cs.LG2024
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
JaeYoon Kim, Junyu Xuan, Christy Liang +1
Offline-to-online reinforcement learning (RL) leverages both pre-trained offline policies and online policies trained for downstream tasks, aiming to improve data efficiency and ac…
cs.CV2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
Sahar Ahmadi, Ali Cheraghian, Morteza Saberi +4
Recent advances in deep learning for processing point clouds hold increased interest in Few-Shot Class Incremental Learning (FSCIL) for 3D computer vision. This paper introduces a…