Archives for meta learning

17 Nov

An Introductory Guide to Meta Reinforcement Learning (Meta-RL)

Meta Reinforcement learning(Meta-RL) can be explained as performing meta-learning in the field of reinforcement learning. where including meta-learning models in reinforcement learning we can grow the model to perform a variety of tasks.

27 Sep

Understanding Metadata with its Types and Benefits

Yugesh Verma Developers Corner

Metadata is something that provides information about the data or we can say it is data about data. This is the data that consists of information about the data or the data that describes the data on which we are working.

27 Sep

Understanding Metadata with its Types and Benefits

Yugesh Verma Developers Corner

21 Sep

Imitation Learning Bodes A New Milestone In Robotics

Dr. Nivash Jeevanandam Adversarial Inverse Reinforcement Learning

Generic imitation learning systems could aid in the tough challenge of teaching a robot to perform a task.

21 Sep

Imitation Learning Bodes A New Milestone In Robotics

Dr. Nivash Jeevanandam Adversarial Inverse Reinforcement Learning

Generic imitation learning systems could aid in the tough challenge of teaching a robot to perform a task.

22 Apr

What Are Prototypical Networks?

Ambika Choudhury Developers Corner

Prototypical networks are more efficient than the recent meta-learning algorithms, making them an appealing approach to few-shot and zero-shot learning.

The post What Are Prototypical Networks? appeared first on Analytics India Magazine.

06 Mar

Hands-on Alchemy: A Structured Task Distribution for Meta-Reinforcement Learning

Aishwarya Verma 3D environement

This post is in continuation with our previous article about Alchemy, the very first benchmark on meta-Reinforcement Learning. Deepmind with the University of London has released an open-source benchmark environment for meta-RL : Alchemy: A structured task distribution for meta-reinforcement learning by Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck,…

The post Hands-on Alchemy: A Structured Task Distribution for Meta-Reinforcement Learning appeared first on Analytics India Magazine.

05 Mar

Guide To learn2learn: A Library For Meta-Learning Research

Nikita Shiledarbaxi Developers Corner

learn2learn is a software library designed for meta-learning research. It was introduced by Sebastien M. R. Arnold from University of Southern California, Praateek Mahajan from Iterable Inc., Debajyoti Datta from University of Virginia, Ian Bunner from University of Waterloo and Konstantinos Saitas Zarkias from KTH Royal Institute of Technology and Research Institute of Sweden (RISE)…

The post Guide To learn2learn: A Library For Meta-Learning Research appeared first on Analytics India Magazine.

03 Mar

Workshop Alert! Hands-on Meta-Learning

Sejuti Das Featured

The Association of Data Scientists (AdaSci), the premier global professional body of data science and ML practitioners, has announced a hands-on workshop on meta-learning on March 13, Saturday. The unavailability of large datasets has turned out to be a huge problem in solving critical challenges with machine learning and artificial intelligence. As a matter of…

The post Workshop Alert! Hands-on Meta-Learning appeared first on Analytics India Magazine.

01 Mar

What Is Meta-Learning via Learned Losses (with Python Code)

Aishwarya Verma deep learning

Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types: First, methods that can learn representation for generalization. Second, methods that can optimize models. We have thoroughly discussed the type first in our previous article MBIRL. For this post, we are going to give a brief introduction to the second type. Last…

The post What Is Meta-Learning via Learned Losses (with Python Code) appeared first on Analytics India Magazine.

1 2 Next »