منابع مشابه
A survey of transfer learning methods for reinforcement learning
Transfer Learning (TL) is the branch of Machine Learning concerned with improving performance on a target task by leveraging knowledge from a related (and usually already learned) source task. TL is potentially applicable to any learning task, but in this survey we consider TL in a Reinforcement Learning (RL) context. TL is inspired by psychology; humans constantly apply previous knowledge to n...
متن کاملTransfer learning using computational intelligence: A survey
Transfer learning aims to provide a framework to utilize previously-acquired knowledge to solve new but similar problems much more quickly and effectively. In contrast to classical machine learning methods, transfer learning methods exploit the knowledge accumulated from data in auxiliary domains to facilitate predictive modeling consisting of different data patterns in the current domain. To i...
متن کاملTransfer Learning for Reinforcement Learning Domains: A Survey
The reinforcement learning paradigm is a popular way to address problems that have only limited environmental feedback, rather than correctly labeled examples, as is common in other machine learning contexts. While significant progress has been made to improve learning in a single task, the idea of transfer learning has only recently been applied to reinforcement learning tasks. The core idea o...
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ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2016
ISSN: 2196-1115
DOI: 10.1186/s40537-016-0043-6