| Decentralized task allocation in lossy networks: A simulation study M Rantanen, N Mastronarde, J Hudack, K Dantu 2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019 | 14 | 2019 |
| Multi-agent sensor data collection with attrition risk J Hudack, J Oh Proceedings of the International Conference on Automated Planning and …, 2016 | 12 | 2016 |
| Algorithms for stochastic physical search on general graphs DS Brown, J Hudack, B Banerjee Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 7 | 2015 |
| Exact and Heuristic Algorithms for Risk‐Aware Stochastic Physical Search DS Brown, J Hudack, N Gemelli, B Banerjee Computational Intelligence 33 (3), 524-553, 2017 | 6 | 2017 |
| Risk-aware planning for sensor data collection J Hudack Syracuse University, 2016 | 5 | 2016 |
| Multiobjective optimization for the stochastic physical search problem J Hudack, N Gemelli, D Brown, S Loscalzo, JC Oh Current Approaches in Applied Artificial Intelligence: 28th International …, 2015 | 5 | 2015 |
| Online search of unknown terrains using a dynamical system-based path planning approach K Sridharan, P McNamee, Z Nili Ahmadabadi, J Hudack Journal of Intelligent & Robotic Systems 106 (1), 21, 2022 | 4 | 2022 |
| Scalability in modeling and simulation systems for multi-agent, AI, and machine learning applications C Newton, J Singleton, C Copland, S Kitchen, J Hudack Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 4 | 2021 |
| Semantic Interoperability in Distributed Planning GR Staskevich, JW Hudack, J Lawton, JA Carozzoni Proceedings of the 13th International Command and Control Research and …, 2008 | 4 | 2008 |
| On optimal policies for risk-aware sensor data collection by a mobile agent A Prasad, J Hudack, S Sundaram IFAC-PapersOnLine 52 (20), 321-326, 2019 | 3 | 2019 |
| Agents technology research R Wright, J Hudack, N Gemelli, S Loscalzo, TK Lue No. AFRL-RI-RS-TR-2010-057. AIR FORCE RESEARCH LAB ROME NY INFORMATION …, 2010 | 3 | 2010 |
| Distributed episodic exploratory planning (DEEP) JA Carozzoni, JH Lawton, C DeStefano, AJ Ford, JW Hudack, ... Technical Report, US Air Force Research Laboratory, 2008 | 3 | 2008 |
| Distributed Algorithm with Resilience for Multi-Agent Task Allocation X Wang, J Hudack, S Mou 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 2 | 2021 |
| Quantifying Characterizations of CubeSat Swarms Based on Chaotic Circuit Analysis AC Nichols, J Baker, J Hudack AIAA SciTech 2021 Forum, 1255, 2021 | 2 | 2021 |
| Using coalitions with stochastic search to solve distributed constraint optimization problems N Gemelli, J Hudack, S Loscalzo, J Oh 7th International Conference on Agents and Artificial Intelligence, ICAART …, 2015 | 2 | 2015 |
| Modeling Self-interested Information Diffusion with Game Theory on Graphs. J Hudack, N Gemelli, JC Oh ICAART (2), 215-222, 2014 | 2 | 2014 |
| Virtual structure reduction on distributed k-coloring problems N Gemelli, J Hudack, JC Oh 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 2 | 2013 |
| Local utility estimation in model-free, multi-agent environments J Hudack, N Gemelli, M Scalzo, ... No. AFRL-RI-RS-TP-2011-42. AIR FORCE RESEARCH LAB ROME NY INFORMATION …, 2010 | 2 | 2010 |
| Policies for risk-aware sensor data collection by mobile agents A Prasad, J Hudack, S Mou, S Sundaram Automatica 142, 110391, 2022 | 1 | 2022 |
| Virtual structure reduction for distributed constraint problem solving N Gemelli, J Hudack, JC Oh Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 1 | 2013 |
