14 citations · 30 across the 5 of their papers we have counts for
5 papers
A Risk-Sensitive Approach to Policy Optimization
Jared Markowitz, Ryan W. Gardner, Ashley Llorens +2
Standard deep reinforcement learning (DRL) aims to maximize expected reward, considering collected experiences equally in formulating a policy. This differs from human decision-mak…
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…
Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
Ufuk Topcu, Nadya Bliss, Nancy Cooke +4
The challenge of establishing assurance in autonomy is rapidly attracting increasing interest in the industry, government, and academia. Autonomy is a broad and expansive capabilit…
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…
On the Complexity of Reconnaissance Blind Chess
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
This paper provides a complexity analysis for the game of reconnaissance blind chess (RBC), a recently-introduced variant of chess where each player does not know the positions of…