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Found 5 papers, 0 papers with code
Aligning a medium-size GPT model in English to a small closed domain in Spanish
In this paper, we propose a methodology to align a medium-sized GPT model, originally trained in English for an open domain, to a small closed domain in Spanish.
Recent Advances in Software Effort Estimation using Machine Learning
An increasing number of software companies have already realized the importance of storing project-related data as valuable sources of information for training prediction models.
Robot path planning using deep reinforcement learning
Autonomous navigation is challenging for mobile robots, especially in an unknown environment.
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems
Interest in automatic people re-identification systems has significantly grown in recent years, mainly for developing surveillance and smart shops software.
Survey on reinforcement learning for language processing
In recent years some researchers have explored the use of reinforcement learning (RL) algorithms as key components in the solution of various natural language processing tasks.
