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Journal Articles
- 2022
[j3]Edwin Ho, Arvind Rajagopalan, Alex Skvortsov, Sanjeev Arulampalam, Mahendra Piraveenan
:
Game Theory in Defence Applications: A Review. Sensors 22(3): 1032 (2022)- 2019
- [j2]Duong Duc Nguyen, Arvind Rajagopalan, Jijoong Kim, Cheng-Chew Lim:
Adaptive Regret Minimization for Learning Complex Team-Based Tactics. IEEE Access 7: 103019-103030 (2019) - 2015
- [j1]Arvind Rajagopalan, Farhan A. Faruqi, D. (Nanda) Nandagopal:
Intelligent Missile using Artificial Neural Networks. Artif. Intell. Res. 4(1): 60-76 (2015)
Conference and Workshop Papers
- 2020
- [c3]Duong Duc Nguyen, Arvind Rajagopalan, Jijoong Kim, Cheng-Chew Lim, David Hubczenko:
Dynamic Multi-Target Assignment with Decentralised Online Learning to Achieve Multiple Synchronised Goals. ICMLC 2020: 111-117 - 2019
- [c2]Arvind Rajagopalan, Duong Duc Nguyen, Jijoong Kim:
Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat. Australasian Conference on Artificial Intelligence 2019: 28-40 - 2018
- [c1]Duong Duc Nguyen, Arvind Rajagopalan, Cheng-Chew Lim:
Online Versus Offline Reinforcement Learning for False Target Control Against Known Threat. ICIRA (2) 2018: 400-412
Informal and Other Publications
- 2021
- [i1]Edwin Ho, Arvind Rajagopalan, Alex Skvortsov, Sanjeev Arulampalam, Mahendra Piraveenan:
Game Theory in defence applications: a review. CoRR abs/2111.01876 (2021)
Coauthor Index
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