Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Piccoli, Elia"'
Multi-Task Reinforcement Learning aims at developing agents that are able to continually evolve and adapt to new scenarios. However, this goal is challenging to achieve due to the phenomenon of catastrophic forgetting and the high demand of computati
Externí odkaz:
http://arxiv.org/abs/2406.09835
Continual Learning (CL) focuses on maximizing the predictive performance of a model across a non-stationary stream of data. Unfortunately, CL models tend to forget previous knowledge, thus often underperforming when compared with an offline model tra
Externí odkaz:
http://arxiv.org/abs/2404.07817