Michael Papasimeon

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 20

Top Topics

Natural Actor Critic

Reinforcement Learning

Conceptual Modelling

Top Venues

Publications

Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky
Diverse, Top-k, and Top-Quality Planning Over Simulators. CoRR (2023)
Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky
Diverse, Top-k, and Top-Quality Planning Over Simulators. ECAI (2023)
Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
Discrete-to-deep reinforcement learning methods. Neural Comput. Appl. 34 (3) (2022)
Lyndon Benke, Michael Papasimeon, Tim Miller
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems. CoRR (2021)
Michael Papasimeon, Lyndon Benke
Multi-agent Simulation for AI Behaviour Discovery in Operations Research. MABS (2021)
Michael Papasimeon, Lyndon Benke
Multi-Agent Simulation for AI Behaviour Discovery in Operations Research. CoRR (2021)
Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramírez, Mor Vered
Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. Frontiers Artif. Intell. 4 (2021)
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)
Dionisios N. Sotiropoulos, Michael Papasimeon, Gregory Koronakos
A Genetically Evolved Measure of Credit-Risk. ICTAI (2021)
Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
Text Generation with Deep Variational GAN. CoRR (2021)
Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
Discrete-to-Deep Supervised Policy Learning. CoRR (2020)
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. CoRR (2020)
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. IJCNN (2020)
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)
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)
Martin Masek, Chiou-Peng Lam, Lyndon Benke, Luke Kelly, Michael Papasimeon
Discovering Emergent Agent Behaviour with Evolutionary Finite State Machines. PRIMA (2018)
Lyndon Benke, Michael Papasimeon, Kevin McDonald
Augmented Reality for Multi-agent Simulation of Air Operations. PRIMA (2018)
Rick Evertsz, John Thangarajah, Michael Papasimeon
The Conceptual Modelling of Dynamic Teams for Autonomous Systems. ER (2017)
Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce
Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI (2017)
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)
Michael Papasimeon, Adrian R. Pearce, Simon Goss
The human agent virtual environment. AAMAS (2007)
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)
Michael Papasimeon, Clinton Heinze
Extending the UML for Designing Jack Agents. Australian Software Engineering Conference (2001)
Clinton Heinze, Michael Papasimeon, Simon Goss
Specifying Agent Behaviour with Use Cases. PRIMA (2000)