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2020 – today
- 2023
[c16]Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky:
Diverse, Top-k, and Top-Quality Planning Over Simulators. ECAI 2023: 231-238- [i6]Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky:
Diverse, Top-k, and Top-Quality Planning Over Simulators. CoRR abs/2308.13147 (2023) - 2022
- [j2]Budi Kurniawan
, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
Discrete-to-deep reinforcement learning methods. Neural Comput. Appl. 34(3): 1713-1733 (2022) - 2021
- [j1]Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramírez, Mor Vered:
Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. Frontiers Artif. Intell. 4: 717003 (2021) - [c15]Melissa J. Rogerson, Joshua Newn, Ronal Singh, Emma Baillie, Michael Papasimeon, Lyndon Benke, Tim Miller:
Observing Multiplayer Boardgame Play at a Distance. CHI PLAY 2021: 262-267 - [c14]Dionisios N. Sotiropoulos, Michael Papasimeon, Gregory Koronakos:
A Genetically Evolved Measure of Credit-Risk. ICTAI 2021: 1376-1383 - [c13]Michael Papasimeon, Lyndon Benke:
Multi-agent Simulation for AI Behaviour Discovery in Operations Research. MABS 2021: 72-85 - [i5]Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung:
Text Generation with Deep Variational GAN. CoRR abs/2104.13488 (2021) - [i4]Michael Papasimeon, Lyndon Benke:
Multi-Agent Simulation for AI Behaviour Discovery in Operations Research. CoRR abs/2108.13296 (2021) - [i3]Lyndon Benke, Michael Papasimeon, Tim Miller:
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems. CoRR abs/2109.03092 (2021) - 2020
- [c12]Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. IJCNN 2020: 1-8 - [i2]Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. CoRR abs/2004.07534 (2020) - [i1]Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
Discrete-to-Deep Supervised Policy Learning. CoRR abs/2005.02057 (2020)
2010 – 2019
- 2019
- [c11]Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation. Australasian Conference on Artificial Intelligence 2019: 54-65 - 2018
- [c10]Miquel Ramírez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R. Pearce, Enrico Scala, Mohammad Zamani:
Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering. AAMAS 2018: 1318-1326 - [c9]Martin Masek, Chiou Peng Lam, Lyndon Benke, Luke Kelly, Michael Papasimeon:
Discovering Emergent Agent Behaviour with Evolutionary Finite State Machines. PRIMA 2018: 19-34 - [c8]Lyndon Benke, Michael Papasimeon, Kevin McDonald:
Augmented Reality for Multi-agent Simulation of Air Operations. PRIMA 2018: 423-430 - 2017
- [c7]Rick Evertsz, John Thangarajah, Michael Papasimeon:
The Conceptual Modelling of Dynamic Teams for Autonomous Systems. ER 2017: 311-324 - [c6]Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce:
Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI 2017: 5243-5245 - 2015
- [c5]Michael Papasimeon, Kevin McDonald, Lyndon Benke:
Software Engineering Multi-Agent Simulations for Computational Operations Research: Challenges and Lessons from 20 Years of Practice. ASWEC (2) 2015: 123
2000 – 2009
- 2007
- [c4]Michael Papasimeon, Adrian R. Pearce, Simon Goss:
The human agent virtual environment. AAMAS 2007: 281 - 2003
- [c3]Simon Goss, Clinton Heinze, Michael Papasimeon, Adrian R. Pearce, Leon Sterling:
Towards Reuse in Agent Oriented Information Systems: The Importance of Being Purposive. AOIS 2003: 110-125 - 2001
- [c2]Michael Papasimeon, Clinton Heinze:
Extending the UML for Designing Jack Agents. Australian Software Engineering Conference 2001: 89-97 - 2000
- [c1]Clinton Heinze, Michael Papasimeon, Simon Goss:
Specifying Agent Behaviour with Use Cases. PRIMA 2000: 128-142
Coauthor Index
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