Ashley J. Llorens

Ashley J. Llorens

Johns Hopkins University

H-index: 8

North America-United States

About Ashley J. Llorens

Ashley J. Llorens, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of artificial intelligence, machine learning, signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning

An interactive agent foundation model

The Essential Role of Causality in Foundation World Models for Embodied AI

Position Paper: Agent AI Towards a Holistic Intelligence

A risk-sensitive approach to policy optimization

National Artificial Intelligence Advisory Committee

Learning multi-agent cooperation

The ai arena: A framework for distributed multi-agent reinforcement learning

Ashley J. Llorens Information

University

Position

Applied Physics Laboratory

Citations(all)

333

Citations(since 2020)

265

Cited By

98

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Ashley J. Llorens Skills & Research Interests

artificial intelligence

machine learning

signal processing

Top articles of Ashley J. Llorens

Title

Journal

Author(s)

Publication Date

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning

Advances in Neural Information Processing Systems

Xin-Qiang Cai

Pushi Zhang

Li Zhao

Jiang Bian

Masashi Sugiyama

...

2024/2/13

An interactive agent foundation model

arXiv preprint arXiv:2402.05929

Zane Durante

Bidipta Sarkar

Ran Gong

Rohan Taori

Yusuke Noda

...

2024/2/8

The Essential Role of Causality in Foundation World Models for Embodied AI

arXiv preprint arXiv:2402.06665

Tarun Gupta

Wenbo Gong

Chao Ma

Nick Pawlowski

Agrin Hilmkil

...

2024/2/6

Position Paper: Agent AI Towards a Holistic Intelligence

arXiv preprint arXiv:2403.00833

Qiuyuan Huang

Naoki Wake

Bidipta Sarkar

Zane Durante

Ran Gong

...

2024/2/28

A risk-sensitive approach to policy optimization

Proceedings of the AAAI Conference on Artificial Intelligence

Jared Markowitz

Ryan W Gardner

Ashley Llorens

Raman Arora

I-Jeng Wang

2023/6/26

National Artificial Intelligence Advisory Committee

Miriam Vogel

Yll Bajraktari

Amanda Ballantyne

Sayan Chakraborty

Jack Clark

...

2022/5/4

Learning multi-agent cooperation

Frontiers in Neurorobotics

Corban Rivera

Edward Staley

Ashley Llorens

2022/10/14

The ai arena: A framework for distributed multi-agent reinforcement learning

arXiv preprint arXiv:2103.05737

Edward W Staley

Corban G Rivera

Ashley J Llorens

2021/3/9

Robotics, AI, and humanity: science, ethics, and policy

Joachim Von Braun

Margaret S Archer

Gregory M Reichberg

Marcelo Sánchez Sorondo

2021

A Risk-Sensitive Policy Gradient Method

Jared Markowitz

Ryan Gardner

Ashley Llorens

Raman Arora

I-Jeng Wang

2021/10/6

Future Defining Innovations: Trustworthy Autonomous Systems

Ashley J Llorens

Erin N Hahn

Marisa J Hughes

Glen H Fountain

Bruce A Swett

...

2021

Governing AI safety through independent audits

Gregory Falco

Ben Shneiderman

Julia Badger

Ryan Carrier

Anton Dahbura

...

2021/7

The Active Sensing Testbed

Proceedings of the AAAI Conference on Artificial Intelligence

Lee Stearns

Neil Fendley

Ashley J Llorens

2021/5/18

Designing Robots for the Battlefield: State of the Art

Bruce A Swett

Erin N Hahn

Ashley J Llorens

2021

The JHU/APL AI technology roadmap: research and exploratory development on the path to intelligent systems for every mission

Michael Wolmetz

Kapil Katyal

Christopher Ratto

Bart Paulhamus

I-Jeng Wang

...

2021/4/12

The first international competition in machine reconnaissance blind chess

Ryan W Gardner

Corey Lowman

Casey Richardson

Ashley J Llorens

Jared Markowitz

...

2020/8/19

Tanksworld: a multi-agent environment for AI safety research

arXiv preprint arXiv:2002.11174

Corban G Rivera

Olivia Lyons

Arielle Summitt

Ayman Fatima

Ji Pak

...

2020/2/25

An Agent-Ensemble for Thresholded Multi-Target Classification

Multidisciplinary Digital Publishing Institute

Nathan Parrish

Ashley Llorens

Alex Driskell

2020/2/18

Assured autonomy: Path toward living with autonomous systems we can trust

arXiv preprint arXiv:2010.14443

Ufuk Topcu

Nadya Bliss

Nancy Cooke

Missy Cummings

Ashley Llorens

...

2020/10/27

See List of Professors in Ashley J. Llorens University(Johns Hopkins University)

Co-Authors

H-index: 133
Ben Shneiderman

Ben Shneiderman

University of Maryland, Baltimore

H-index: 48
Christoforos Hadjicostis

Christoforos Hadjicostis

University of Cyprus

H-index: 21
I-Jeng Wang

I-Jeng Wang

Johns Hopkins University

H-index: 20
Gregory Falco

Gregory Falco

Massachusetts Institute of Technology

H-index: 10
Mike Pekala

Mike Pekala

University of Maryland

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