Ashley J. Llorens

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 10

Top Topics

Intelligent Software Agents

General Intelligence

International Competition

Top Venues

Frontiers Neurorobotics

Publications

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
Position Paper: Agent AI Towards a Holistic Intelligence. CoRR (2024)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. AAAI (2023)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. CoRR (2022)
Corban G. Rivera, Edward W. Staley, Ashley J. Llorens
Learning multi-agent cooperation. Frontiers Neurorobotics 16 (2022)
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
Governing AI safety through independent audits. Nat. Mach. Intell. 3 (7) (2021)
Edward W. Staley, Corban G. Rivera, Ashley J. Llorens
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning. CoRR (2021)
Lee Stearns, Neil Fendley, Ashley J. Llorens
The Active Sensing Testbed. AAAI (2021)
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
TanksWorld: A Multi-Agent Environment for AI Safety Research. CoRR (2020)
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
The First International Competition in Machine Reconnaissance Blind Chess. NeurIPS (Competition and Demos) (2019)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
On the Complexity of Reconnaissance Blind Chess. CoRR (2018)
Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
Conformal predictors for online track classification. ICASSP (2014)
Nathan Parrish, Ashley J. Llorens
The any-combiner for multi-agent target classification. FUSION (2013)
Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
Local distance metric learning for efficient conformal predictors. MLSP (2012)
Michael J. Pekala, Ashley J. Llorens
Online learning with minority class resampling. ICASSP (2011)
Ashley J. Llorens, Christoforos N. Hadjicostis, Hen Chi Ni
Quantization of FIR filters under a total integer cost constraint. IEEE Trans. Circuits Syst. II Express Briefs (9) (2005)