Ashley J. Llorens

18 papers A* 2C 1Misc 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Interactive Agent Foundation Model.
CoRR
Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
2024 J jnl
Position Paper: Agent AI Towards a Holistic Intelligence.
CoRR
Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao
2023 A* conf
A Risk-Sensitive Approach to Policy Optimization.
AAAI
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2022 J jnl
A Risk-Sensitive Approach to Policy Optimization.
CoRR
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2022 J jnl
Learning multi-agent cooperation.
Frontiers Neurorobotics
Corban G. Rivera, Edward W. Staley, Ashley J. Llorens
2021 — ch.
Designing Robots for the Battlefield: State of the Art.
Robotics, AI, and Humanity
Bruce A. Swett, Erin N. Hahn, Ashley J. Llorens
2021 J jnl
Governing AI safety through independent audits.
Nat. Mach. Intell.
Gregory Falco, Ben Shneiderman, Julia Badger, Ryan Carrier, Anton Dahbura, David Danks, Martin Eling, Alwyn Goodloe, Jerry Gupta, Christopher Hart, Marina Jirotka, Henric Johnson, Cara Lapointe, Ashley J. Llorens, Alan K. Mackworth, Carsten Maple, Sigurður Emil Pálsson, Frank Pasquale, Alan F. T. Winfield, Zee Kin Yeong
2021 J jnl
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning.
CoRR
Edward W. Staley, Corban G. Rivera, Ashley J. Llorens
2021 A* conf
The Active Sensing Testbed.
AAAI
Lee Stearns, Neil Fendley, Ashley J. Llorens
2020 J jnl
Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust.
CoRR
Ufuk Topcu, Nadya Bliss, Nancy J. Cooke, Missy L. Cummings, Ashley J. Llorens, Howard E. Shrobe, Lenore D. Zuck
2020 J jnl
TanksWorld: A Multi-Agent Environment for AI Safety Research.
CoRR
Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
2019 — conf
The First International Competition in Machine Reconnaissance Blind Chess.
NeurIPS (Competition and Demos)
Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov
2018 J jnl
On the Complexity of Reconnaissance Blind Chess.
CoRR
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
2014 Misc conf
Conformal predictors for online track classification.
ICASSP
Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
2013 C conf
The any-combiner for multi-agent target classification.
FUSION
Nathan Parrish, Ashley J. Llorens
2012 — conf
Local distance metric learning for efficient conformal predictors.
MLSP
Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
2011 Misc conf
Online learning with minority class resampling.
ICASSP
Michael J. Pekala, Ashley J. Llorens
2005 J jnl
Quantization of FIR filters under a total integer cost constraint.
IEEE Trans. Circuits Syst. II Express Briefs
Ashley J. Llorens, Christoforos N. Hadjicostis, Hen Chi Ni