Scalable Interactive Machine Learning for Future Command and Control

9 February 2024

Papers citing "Scalable Interactive Machine Learning for Future Command and Control"

8 / 8 papers shown

Title
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions Youngjoon Lee Taehyun Park Yeongjoon Kang Jonghoe Kim Joonhyuk Kang 18 0 0 01 Oct 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds David Chhan Ellen R. Novoseller Vernon J. Lawhern 27 5 0 17 Jan 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 197 2,953 0 22 Mar 2023
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay Kota Kondo J. Tordesillas Reinaldo Figueroa Juan Rached Joseph Merkel Parker C. Lusk Jonathan P. How 52 12 0 27 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Batch Reinforcement Learning from Crowds Guoxi Zhang H. Kashima OffRL 22 5 0 08 Nov 2021
Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming Nathan J. Mcneese Beau G. Schelble L. Canonico Mustafa Demir 28 43 0 23 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015