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Michael Papasimeon

DSTG

6 papers hereh-index 10277 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.MA2
  • cs.AI1
affiliations
  • DSTG

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedText Generation with Deep Variational GAN

2 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.MA2021

Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems

Lyndon Benke, Michael Papasimeon, Tim Miller

Deception is virtually ubiquitous in warfare, and should be a central consideration for military operations research. However, studies of agent behaviour in simulated operations ha…

cs.MA2021

Multi-Agent Simulation for AI Behaviour Discovery in Operations Research

Michael Papasimeon, Lyndon Benke

We describe ACE0, a lightweight platform for evaluating the suitability and viability of AI methods for behaviour discovery in multiagent simulations. Specifically, ACE0 was design…

cs.LG2021★ 2 cited

Text Generation with Deep Variational GAN

Mahmoud Hossam, Trung Le, Michael Papasimeon +2

Generating realistic sequences is a central task in many machine learning applications. There has been considerable recent progress on building deep generative models for sequence…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.