Machine Learning for Autonomous Agents

The ARL Research Associateship Program (ARL-RAP) opportunity 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. The 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. This position is within the Computational and Information Sciences Directorate (CISD), which conducts research in a variety of disciplines relevant to achieving and implementing the digital battlefield.