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researcher

Thibaut Théate

University of Liège

6 papers hereh-index 5318 citations7 works total

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

author position
  • first author5
  • middle author1

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

fields
  • q-fin.TR4
  • cs.LG2
affiliations
  • University of Liège
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedAn Application of Deep Reinforcement Learning to Algorithmic Trading

222 citations · 242 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

q-fin.TR2020★ 1 cited

An Artificial Intelligence Solution for Electricity Procurement in Forward Markets

Thibaut Théate, Sébastien Mathieu, Damien Ernst

Retailers and major consumers of electricity generally purchase an important percentage of their estimated electricity needs years ahead in the forward market. This long-term elect…

q-fin.TR2020

A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding

Ioannis Boukas, Damien Ernst, Thibaut Théate +5

The large integration of variable energy resources is expected to shift a large part of the energy exchanges closer to real-time, where more accurate forecasts are available. In th…

q-fin.TR2020★ 222 cited

An Application of Deep Reinforcement Learning to Algorithmic Trading

Thibaut Théate, Damien Ernst

This scientific research paper presents an innovative approach based on deep reinforcement learning (DRL) to solve the algorithmic trading problem of determining the optimal tradin…

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