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08/29/2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Autonomous robotic systems, like autonomous vehicles and robotic search ...
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05/18/2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
Lifelong learning agents aim to learn multiple tasks sequentially over a...
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01/18/2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Despite the advancement of machine learning techniques in recent years, ...
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12/21/2022
Lifelong Reinforcement Learning with Modulating Masks
Lifelong learning aims to create AI systems that continuously and increm...
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12/11/2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Learning from set-structured data is an essential problem with many appl...
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10/30/2021
Context Meta-Reinforcement Learning via Neuromodulation
Meta-reinforcement learning (meta-RL) algorithms enable agents to adapt ...
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08/27/2020
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
A wide range of techniques can be considered for segmentation of images ...
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04/27/2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Rapid online adaptation to changing tasks is an important problem in mac...
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09/21/2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
This paper introduces the modulated Hebbian plus Q network architecture ...
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07/19/2019
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
The shortage of high-resolution urban digital elevation model (DEM) data...
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07/06/2018
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation
In this paper, we propose a novel fully convolutional two-stream fusion ...
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03/30/2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Biological plastic neural networks are systems of extraordinary computat...
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02/21/2017
Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks
Unsupervised learning permits the development of algorithms that are abl...
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02/04/2014
