18 citations · 54 across the 12 of their papers we have counts for
13 papers
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Bharat Prakash, Nicholas Waytowich, Tim Oates +1
Learning to solve long horizon temporally extended tasks with reinforcement learning has been a challenge for several years now. We believe that it is important to leverage both th…
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
Arnab Neelim Mazumder, Tinoosh Mohsenin
Keyword Spotting nowadays is an integral part of speech-oriented user interaction targeted for smart devices. To this extent, neural networks are extensively used for their flexibi…
TinyMNet: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices
Hasib-Al Rashid, Pretom Roy Ovi, Carl Busart +2
With the emergence of Artificial Intelligence (AI), new attention has been given to implement AI algorithms on resource constrained tiny devices to expand the application domain of…
Automatic Goal Generation using Dynamical Distance Learning
Bharat Prakash, Nicholas Waytowich, Tinoosh Mohsenin +1
Reinforcement Learning (RL) agents can learn to solve complex sequential decision making tasks by interacting with the environment. However, sample efficiency remains a major chall…
Interactive Hierarchical Guidance using Language
Bharat Prakash, Nicholas Waytowich, Tim Oates +1
Reinforcement learning has been successful in many tasks ranging from robotic control, games, energy management etc. In complex real world environments with sparse rewards and long…
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information
Morteza Hosseini, Haoran Ren, Hasib-Al Rashid +3
Pulmonary diseases impact millions of lives globally and annually. The recent outbreak of the pandemic of the COVID-19, a novel pulmonary infection, has more than ever brought the…