research
∙
08/17/2023
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents
Robots have been successfully used to perform tasks with high precision....
share
research
∙
10/16/2022
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Learning to solve long horizon temporally extended tasks with reinforcem...
research
∙
02/04/2022
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
Keyword Spotting nowadays is an integral part of speech-oriented user in...
research
∙
11/07/2021
Automatic Goal Generation using Dynamical Distance Learning
Reinforcement Learning (RL) agents can learn to solve complex sequential...
research
∙
10/09/2021
Interactive Hierarchical Guidance using Language
Reinforcement learning has been successful in many tasks ranging from ro...
research
∙
11/26/2020
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information
Pulmonary diseases impact millions of lives globally and annually. The r...
research
∙
06/29/2020
Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction
In this paper, we propose a novel solution to reduce the computational c...
research
∙
01/16/2020
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
In this paper, we propose Code-Bridged Classifier (CBC), a framework for...
research
∙
09/29/2019
Learning from Observations Using a Single Video Demonstration and Human Feedback
In this paper, we present a method for learning from video demonstration...
research
∙
03/25/2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
In autonomous embedded systems, it is often vital to reduce the amount o...
research
∙
03/22/2019
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention
Recent progress in AI and Reinforcement learning has shown great success...
research
∙
08/28/2017
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
Ubiquitous bio-sensing for personalized health monitoring is slowly beco...
research
∙
12/19/2014
