Deep Lifelong Reinforcement Learning for Resilient Control and Coordination
Abstract
The goal of this program is to incorporate lifelong transfer learning into deep reinforcement learning (DRL), yielding a system that can rapidly learn high performance policies for novel scenarios in multi-agent ISR environments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 06, 2016
- Source ID
- FA87501610109
Entities
People
- Eric Eaton
Organizations
- Rome Laboratory
- United States Air Force
- University of Pennsylvania