2 papers
cs.LG2024
U-TELL: Unsupervised Task Expert Lifelong Learning
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar +1
Continual learning (CL) models are designed to learn new tasks arriving sequentially without re-training the network. However, real-world ML applications have very limited label in…
cs.LG2024
Self-evolving Autoencoder Embedded Q-Network
J. Senthilnath, Bangjian Zhou, Zhen Wei Ng +7
In the realm of sequential decision-making tasks, the exploration capability of a reinforcement learning (RL) agent is paramount for achieving high rewards through interactions wit…