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researcher

Michael Karpe

2 papers hereh-index 152 citations2 works total

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

author position
  • sole author1
  • first author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-fin.TR2

identity via Semantic Scholar / OpenAlex

most citedMulti-Agent Reinforcement Learning in a Realistic Limit Order Book Market Simulation

36 citations · 37 across the 2 of their papers we have counts for

collaborators

2 papers

q-fin.TR2020★ 1 cited

An overall view of key problems in algorithmic trading and recent progress

Michaël Karpe

We summarize the fundamental issues at stake in algorithmic trading, and the progress made in this field over the last twenty years. We first present the key problems of algorithmi…

q-fin.TR2020★ 36 cited

Multi-Agent Reinforcement Learning in a Realistic Limit Order Book Market Simulation

Michaël Karpe, Jin Fang, Zhongyao Ma +1

Optimal order execution is widely studied by industry practitioners and academic researchers because it determines the profitability of investment decisions and high-level trading…

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