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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 2022Show all

1 paper · 1 filter

cs.LG2022

Risk-Sensitive Policy with Distributional Reinforcement Learning

Thibaut Théate, Damien Ernst

Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheles…

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