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Daniel A. Guerra

1 paper hereh-index 246 citations4 works total

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author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2024

A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C

Neil De La Fuente, Daniel A. Vidal Guerra

This study conducts a comparative analysis of three advanced Deep Reinforcement Learning models: Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), and Advantage Actor-Crit…

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