3 citations · 5 across the 6 of their papers we have counts for
6 papers
Latent Properties of Lifelong Learning Systems
Corban Rivera, Chace Ashcraft, Alexander New +2
Creating artificial intelligence (AI) systems capable of demonstrating lifelong learning is a fundamental challenge, and many approaches and metrics have been proposed to analyze a…
Visual Goal-Directed Meta-Learning with Contextual Planning Networks
Corban G. Rivera, David A Handelman
The goal of meta-learning is to generalize to new tasks and goals as quickly as possible. Ideally, we would like approaches that generalize to new goals and tasks on the first atte…
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Edward W. Staley, Corban G. Rivera, Ashley J. Llorens
Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains. An emerging landscap…
Learning a Group-Aware Policy for Robot Navigation
Kapil Katyal, Yuxiang Gao, Jared Markowitz +4
Human-aware robot navigation promises a range of applications in which mobile robots bring versatile assistance to people in common human environments. While prior research has mos…
PICO: Primitive Imitation for COntrol
Corban G. Rivera, Katie M. Popek, Chace Ashcraft +3
In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task dec…
TanksWorld: A Multi-Agent Environment for AI Safety Research
Corban G. Rivera, Olivia Lyons, Arielle Summitt +8
The ability to create artificial intelligence (AI) capable of performing complex tasks is rapidly outpacing our ability to ensure the safe and assured operation of AI-enabled syste…