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Meta-learning in Reinforcement Learning
Neural Networks, 2003Meta-parameters in reinforcement learning should be tuned to the environmental dynamics and the animal performance. Here, we propose a biologically plausible meta-reinforcement learning algorithm for tuning these meta-parameters in a dynamic, adaptive manner.
Kenji Doya, Nicolas Schweighofer
exaly +3 more sources
2022
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
openaire +1 more source
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
openaire +1 more source
2009
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Pavel B. Brazdil +3 more
openaire +1 more source
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Pavel B. Brazdil +3 more
openaire +1 more source
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Hang Wang, Sen Lin, Junshan Zhang
+6 more sources
Hang Wang, Sen Lin, Junshan Zhang
+6 more sources
2022 26th International Conference on Pattern Recognition (ICPR), 2022
Nico Zengeler +2 more
openaire +1 more source
Nico Zengeler +2 more
openaire +1 more source
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Timothy Hospedales, Amos Storkey
exaly
Meta-learning approaches for learning-to-learn in deep learning: A survey
Neurocomputing, 2022Yingjie Tian
exaly
Meta-seg: A survey of meta-learning for image segmentation
Pattern Recognition, 2022Shuai Luo, Yujie Li, Wang Yichuan
exaly
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning
IEEE Transactions on Neural Networks and Learning Systems, 2022Yang Gao, Wenbin Li, Yang Gao
exaly