Quantization of FIR filters under a total integer cost constraint. - Ashley J. Llorens; Christoforos N. Hadjicostis; Hen Chi Ni (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Online learning with minority class resampling. - Michael J. Pekala; Ashley J. Llorens (ICASSP, 2011)

Local distance metric learning for efficient conformal predictors. - Michael J. Pekala; Ashley J. Llorens; I-Jeng Wang (MLSP, 2012)

The any-combiner for multi-agent target classification. - Nathan Parrish; Ashley J. Llorens (FUSION, 2013)

Conformal predictors for online track classification. - Michael J. Pekala; I-Jeng Wang; Ashley J. Llorens (ICASSP, 2014)

On the Complexity of Reconnaissance Blind Chess. - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens (CoRR, 2018)

The First International Competition in Machine Reconnaissance Blind Chess. - 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; et al. (NeurIPS (Competition and Demos), 2019)

TanksWorld: A Multi-Agent Environment for AI Safety Research. - 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 (CoRR, 2020)

Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust. - Ufuk Topcu; Nadya Bliss; Nancy J. Cooke; Missy L. Cummings; Ashley J. Llorens; Howard E. Shrobe; Lenore D. Zuck (CoRR, 2020)

Designing Robots for the Battlefield: State of the Art. - Bruce A. Swett; Erin N. Hahn; Ashley J. Llorens (Robotics, AI, and Humanity, 2021)

The Active Sensing Testbed. - Lee Stearns; Neil Fendley; Ashley J. Llorens (AAAI, 2021)

The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning. - Edward W. Staley; Corban G. Rivera; Ashley J. Llorens (CoRR, 2021)

Governing AI safety through independent audits. - Gregory Falco; Ben Shneiderman; Julia Badger; Ryan Carrier; Anton Dahbura; David Danks; Martin Eling; Alwyn Goodloe; Jerry Gupta; Christopher Hart; Marina Jirotka; Henric Johnson; et al. (Nat. Mach. Intell., 2021)

Learning multi-agent cooperation. - Corban G. Rivera; Edward W. Staley; Ashley J. Llorens (Frontiers Neurorobotics, 2022)

A Risk-Sensitive Approach to Policy Optimization. - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens; Raman Arora; I-Jeng Wang (AAAI, 2023)

An Interactive Agent Foundation Model. - Zane Durante; Bidipta Sarkar; Ran Gong; Rohan Taori; Yusuke Noda; Paul Tang; Ehsan Adeli 001; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Demetri Terzopoulos; Ade Famoti; et al. (CoRR, 2024)

The Essential Role of Causality in Foundation World Models for Embodied AI. - Tarun Gupta 002; Wenbo Gong 001; Chao Ma 019; Nick Pawlowski; Agrin Hilmkil; Meyer Scetbon; Ade Famoti; Ashley Juan Llorens; Jianfeng Gao 001; Stefan Bauer; Danica Kragic; Bernhard Schölkopf; et al. (CoRR, 2024)

Position Paper: Agent AI Towards a Holistic Intelligence. - 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 001; et al. (CoRR, 2024)