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researcher

Mehran Taghian

2 papers here

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

author position
  • first author2

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

fields
  • cs.AI1
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

most citedA Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

q-fin.ST2021★ 3 cited

A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules

Mehran Taghian, Ahmad Asadi, Reza Safabakhsh

A wide variety of deep reinforcement learning (DRL) models have recently been proposed to learn profitable investment strategies. The rules learned by these models outperform the p…

cs.AI2020★ 2 cited

Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning

Mehran Taghian, Ahmad Asadi, Reza Safabakhsh

Generating asset-specific trading signals based on the financial conditions of the assets is one of the challenging problems in automated trading. Various asset trading rules are p…

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