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researcher

Deep Thomas

4 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedUsing Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World

73 citations · 89 across the 3 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Temporal Shift Reinforcement Learning

Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari

The function approximators employed by traditional image-based Deep Reinforcement Learning (DRL) algorithms usually lack a temporal learning component and instead focus on learning…

cs.RO2021

Interpretable UAV Collision Avoidance using Deep Reinforcement Learning

Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger +2

The significant components of any successful autonomous flight system are task completion and collision avoidance. Most deep learning algorithms successfully execute these aspects…

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