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Found 4 papers, 4 papers with code
Intelligent Switching for Reset-Free RL
In the real world, the strong episode resetting mechanisms that are needed to train agents in simulation are unavailable.
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
The lifelong learning paradigm in machine learning is an attractive alternative to the more prominent isolated learning scheme not only due to its resemblance to biological learning but also its potential to reduce energy waste by obviating excessive model re-training.
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
We present neural architectures that disentangle RGB-D images into objects' shapes and styles and a map of the background scene, and explore their applications for few-shot 3D object detection and few-shot concept classification.
Towards modular and programmable architecture search
We release an implementation of our language with this paper.
