Machine Learning for Autonomous Agents

About the Research

Research focuses on the development of computational methods that can be used both to build fully-autonomous artificial agents and also to allow these agents to successfully adapt to new tasks and environments. In particular, this opportunity emphasizes methods that allow artificial agents to learn both from their own experience (e.g., reinforcement learning), and also from human interaction (e.g., imitation learning). Example applications of interest include autonomous vehicle navigation and multi-agent command and control.

About CISD

The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

Keywords

artificial intelligence, machine learning, reinforcement learning, imitation learning, robotics, control, autonomous agents

ARL Advisor

Garrett Warnell
garrett.a.warnell.civ@army.mil

A complete application includes:

• Curriculum Vitae or Resume
• Three References Forms
• Transcripts

Questions about this opportunity?

Please email ARLFellowship@orau.org